MyMedR

Displaying publications 41 - 60 of 77 in total

Abstract:

Sort:

Fulltext Effect of temporal relationships in associative rule mining for web log data

Khairudin NM, Mustapha A, Ahmad MH

ScientificWorldJournal, 2014;2014:813983.
PMID: 24587757 DOI: 10.1155/2014/813983

The advent of web-based applications and services has created such diverse and voluminous web log data stored in web servers, proxy servers, client machines, or organizational databases. This paper attempts to investigate the effect of temporal attribute in relational rule mining for web log data. We incorporated the characteristics of time in the rule mining process and analysed the effect of various temporal parameters. The rules generated from temporal relational rule mining are then compared against the rules generated from the classical rule mining approach such as the Apriori and FP-Growth algorithms. The results showed that by incorporating the temporal attribute via time, the number of rules generated is subsequently smaller but is comparable in terms of quality.

Matched MeSH terms: Information Storage and Retrieval/methods*
Fulltext Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics

Pahl C, Zare M, Nilashi M, de Faria Borges MA, Weingaertner D, Detschew V, et al.

J Biomed Inform, 2015 Jun;55:174-87.
PMID: 25900270 DOI: 10.1016/j.jbi.2015.04.004

This work investigates, whether openEHR with its reference model, archetypes and templates is suitable for the digital representation of demographic as well as clinical data. Moreover, it elaborates openEHR as a tool for modelling Hospital Information Systems on a regional level based on a national logical infrastructure. OpenEHR is a dual model approach developed for the modelling of Hospital Information Systems enabling semantic interoperability. A holistic solution to this represents the use of dual model based Electronic Healthcare Record systems. Modelling data in the field of obstetrics is a challenge, since different regions demand locally specific information for the process of treatment. Smaller health units in developing countries like Brazil or Malaysia, which until recently handled automatable processes like the storage of sensitive patient data in paper form, start organizational reconstruction processes. This archetype proof-of-concept investigation has tried out some elements of the openEHR methodology in cooperation with a health unit in Colombo, Brazil. Two legal forms provided by the Brazilian Ministry of Health have been analyzed and classified into demographic and clinical data. LinkEHR-Ed editor was used to read, edit and create archetypes. Results show that 33 clinical and demographic concepts, which are necessary to cover data demanded by the Unified National Health System, were identified. Out of the concepts 61% were reused and 39% modified to cover domain requirements. The detailed process of reuse, modification and creation of archetypes is shown. We conclude that, although a major part of demographic and clinical patient data were already represented by existing archetypes, a significant part required major modifications. In this study openEHR proved to be a highly suitable tool in the modelling of complex health data. In combination with LinkEHR-Ed software it offers user-friendly and highly applicable tools, although the complexity built by the vast specifications requires expert networks to define generally excepted clinical models. Finally, this project has pointed out main benefits enclosing high coverage of obstetrics data on the Clinical Knowledge Manager, simple modelling, and wide network and support using openEHR. Moreover, barriers described are enclosing the allocation of clinical content to respective archetypes, as well as stagnant adaption of changes on the Clinical Knowledge Manager leading to redundant efforts in data contribution that need to be addressed in future works.

Matched MeSH terms: Information Storage and Retrieval/methods*
Polarity dependent photoisomerization of ether substituted azodyes: Synthesis and photoswitching behavior

Gan SM, Pearl ZF, Yuvaraj AR, Lutfor MR, Gurumurthy H

Spectrochim Acta A Mol Biomol Spectrosc, 2015 Oct 5;149:875-80.
PMID: 26004096 DOI: 10.1016/j.saa.2015.05.027

Two new ether substituted azodyes were synthesized and characterized by different spectral analysis such as (1)H NMR, (13)C NMR, FTIR and UV/Vis. Synthesized compounds were used to study the photoisomerization phenomenon by using UV-Vis spectro-photometer. Interesting polarity dependent effect is observed for the first time on these materials. Trans-cis (E-Z) and cis-trans (Z-E) conversion occurred within 41 s and 445 min, respectively for both the compounds in solutions. Polarizing optical microscopy studies revealed that there is no liquid crystal phase for both the compounds. The dramatic variation in the optical property is speculated to be the polarity of the chemical species. These derivatives are useful to fabricate optical data storage devices.

Matched MeSH terms: Information Storage and Retrieval
Fulltext Design and development of a content-based medical image retrieval system for spine vertebrae irregularity

Mustapha A, Hussain A, Samad SA, Zulkifley MA, Diyana Wan Zaki WM, Hamid HA

Biomed Eng Online, 2015;14:6.
PMID: 25595511 DOI: 10.1186/1475-925X-14-6

Content-based medical image retrieval (CBMIR) system enables medical practitioners to perform fast diagnosis through quantitative assessment of the visual information of various modalities.

Matched MeSH terms: Information Storage and Retrieval/methods*
Fulltext An innovative privacy preserving technique for incremental datasets on cloud computing

Aldeen YA, Salleh M, Aljeroudi Y

J Biomed Inform, 2016 08;62:107-16.
PMID: 27369566 DOI: 10.1016/j.jbi.2016.06.011

Cloud computing (CC) is a magnificent service-based delivery with gigantic computer processing power and data storage across connected communications channels. It imparted overwhelming technological impetus in the internet (web) mediated IT industry, where users can easily share private data for further analysis and mining. Furthermore, user affable CC services enable to deploy sundry applications economically. Meanwhile, simple data sharing impelled various phishing attacks and malware assisted security threats. Some privacy sensitive applications like health services on cloud that are built with several economic and operational benefits necessitate enhanced security. Thus, absolute cyberspace security and mitigation against phishing blitz became mandatory to protect overall data privacy. Typically, diverse applications datasets are anonymized with better privacy to owners without providing all secrecy requirements to the newly added records. Some proposed techniques emphasized this issue by re-anonymizing the datasets from the scratch. The utmost privacy protection over incremental datasets on CC is far from being achieved. Certainly, the distribution of huge datasets volume across multiple storage nodes limits the privacy preservation. In this view, we propose a new anonymization technique to attain better privacy protection with high data utility over distributed and incremental datasets on CC. The proficiency of data privacy preservation and improved confidentiality requirements is demonstrated through performance evaluation.

Matched MeSH terms: Information Storage and Retrieval*
Fulltext Pooling and expanding registries of familial hypercholesterolaemia to assess gaps in care and improve disease management and outcomes: Rationale and design of the global EAS Familial Hypercholesterolaemia Studies Collaboration

EAS Familial Hypercholesterolaemia Studies Collaboration, Vallejo-Vaz AJ, Akram A, Kondapally Seshasai SR, Cole D, Watts GF, et al.

Atheroscler Suppl, 2016 Dec;22:1-32.
PMID: 27939304 DOI: 10.1016/j.atherosclerosissup.2016.10.001

The potential for global collaborations to better inform public health policy regarding major non-communicable diseases has been successfully demonstrated by several large-scale international consortia. However, the true public health impact of familial hypercholesterolaemia (FH), a common genetic disorder associated with premature cardiovascular disease, is yet to be reliably ascertained using similar approaches. The European Atherosclerosis Society FH Studies Collaboration (EAS FHSC) is a new initiative of international stakeholders which will help establish a global FH registry to generate large-scale, robust data on the burden of FH worldwide.

Matched MeSH terms: Information Storage and Retrieval
Fulltext Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm

Abdulhamid SM, Abd Latiff MS, Abdul-Salaam G, Hussain Madni SH

PLoS One, 2016;11(7):e0158102.
PMID: 27384239 DOI: 10.1371/journal.pone.0158102

Cloud computing system is a huge cluster of interconnected servers residing in a datacenter and dynamically provisioned to clients on-demand via a front-end interface. Scientific applications scheduling in the cloud computing environment is identified as NP-hard problem due to the dynamic nature of heterogeneous resources. Recently, a number of metaheuristics optimization schemes have been applied to address the challenges of applications scheduling in the cloud system, without much emphasis on the issue of secure global scheduling. In this paper, scientific applications scheduling techniques using the Global League Championship Algorithm (GBLCA) optimization technique is first presented for global task scheduling in the cloud environment. The experiment is carried out using CloudSim simulator. The experimental results show that, the proposed GBLCA technique produced remarkable performance improvement rate on the makespan that ranges between 14.44% to 46.41%. It also shows significant reduction in the time taken to securely schedule applications as parametrically measured in terms of the response time. In view of the experimental results, the proposed technique provides better-quality scheduling solution that is suitable for scientific applications task execution in the Cloud Computing environment than the MinMin, MaxMin, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) scheduling techniques.

Matched MeSH terms: Information Storage and Retrieval*
Fulltext Feature Selection Using Information Gain for Improved Structural-Based Alert Correlation

Alhaj TA, Siraj MM, Zainal A, Elshoush HT, Elhaj F

PLoS One, 2016;11(11):e0166017.
PMID: 27893821 DOI: 10.1371/journal.pone.0166017

Grouping and clustering alerts for intrusion detection based on the similarity of features is referred to as structurally base alert correlation and can discover a list of attack steps. Previous researchers selected different features and data sources manually based on their knowledge and experience, which lead to the less accurate identification of attack steps and inconsistent performance of clustering accuracy. Furthermore, the existing alert correlation systems deal with a huge amount of data that contains null values, incomplete information, and irrelevant features causing the analysis of the alerts to be tedious, time-consuming and error-prone. Therefore, this paper focuses on selecting accurate and significant features of alerts that are appropriate to represent the attack steps, thus, enhancing the structural-based alert correlation model. A two-tier feature selection method is proposed to obtain the significant features. The first tier aims at ranking the subset of features based on high information gain entropy in decreasing order. The‏ second tier extends additional features with a better discriminative ability than the initially ranked features. Performance analysis results show the significance of the selected features in terms of the clustering accuracy using 2000 DARPA intrusion detection scenario-specific dataset.

Matched MeSH terms: Information Storage and Retrieval
Fulltext Psycho-social and spiritual backgrounds, experiences, and needs as a transsexual: a qualitative study within Persatuan Insaf Pahang

Drama, S., Maliya, S., Liyana, A., Farhani, S., Jannah, R., Razman., M.R.

International Medical Journal Malaysia, 2016;15(2):27-36.
MyJurnal

Introduction: Transsexuals face discriminations and rejections from the Malaysian society. The number of
studies done on understanding the phenomenology, experiences, and problems faced by transsexuals is still
few in Malaysia. This research aims to document their psycho-social and spiritual backgrounds and the
relevant experiences, and to explore their perceptions and needs as male-to-female transsexuals in the
context of Persatuan Insaf Pahang, Malaysia. Materials and Methods: A qualitative research was carried out
in July and August 2015 among eight male-to-female transsexual adults in Kuantan, Pahang. Snowball
sampling was used. Participants who gave consent were interviewed in two focus groups. Data obtained was
transcribed and used as the primary data source. Results: Subjects in this study reported confusions over
their gender identity since childhood. They struggled against conflicts regarding their transsexuality in
adolescence, and eventually many quit their studies. As adults, they were discriminated against in
employment and religious settings. They provided positive feedbacks on religious authorities who could
understand problems unique to transsexuals and empathise with the transsexual community. Conclusion: The
psycho-sexual phenomenology is the same in transsexuals all over the world. Misunderstanding and
discrimination from the society remain heavy towards this community. Transsexuals should learn to adapt to
meeting expectations from the society as well, so they could be accepted in public. They will need religious
guidance and spiritual support for better quality of life. Dedicated efforts are still needed in training
professionals in the educational, medical, and religious fields to attend to the specific needs of transsexuals
in this country.

Matched MeSH terms: Information Storage and Retrieval
Fulltext Development of a Search Strategy for an Evidence Based Retrieval Service

Ho GJ, Liew SM, Ng CJ, Hisham Shunmugam R, Glasziou P

PLoS One, 2016;11(12):e0167170.
PMID: 27935993 DOI: 10.1371/journal.pone.0167170

BACKGROUND: Physicians are often encouraged to locate answers for their clinical queries via an evidence-based literature search approach. The methods used are often not clearly specified. Inappropriate search strategies, time constraint and contradictory information complicate evidence retrieval.
AIMS: Our study aimed to develop a search strategy to answer clinical queries among physicians in a primary care setting.
METHODS: Six clinical questions of different medical conditions seen in primary care were formulated. A series of experimental searches to answer each question was conducted on 3 commonly advocated medical databases. We compared search results from a PICO (patients, intervention, comparison, outcome) framework for questions using different combinations of PICO elements. We also compared outcomes from doing searches using text words, Medical Subject Headings (MeSH), or a combination of both. All searches were documented using screenshots and saved search strategies.
RESULTS: Answers to all 6 questions using the PICO framework were found. A higher number of systematic reviews were obtained using a 2 PICO element search compared to a 4 element search. A more optimal choice of search is a combination of both text words and MeSH terms. Despite searching using the Systematic Review filter, many non-systematic reviews or narrative reviews were found in PubMed. There was poor overlap between outcomes of searches using different databases. The duration of search and screening for the 6 questions ranged from 1 to 4 hours.
CONCLUSION: This strategy has been shown to be feasible and can provide evidence to doctors' clinical questions. It has the potential to be incorporated into an interventional study to determine the impact of an online evidence retrieval system.

Matched MeSH terms: Information Storage and Retrieval/methods*
Why bother about health? A study on the factors that influence health information seeking behaviour among Malaysian healthcare consumers

Jaafar NI, Ainin S, Yeong MW

Int J Med Inform, 2017 08;104:38-44.
PMID: 28599815 DOI: 10.1016/j.ijmedinf.2017.05.002

BACKGROUND: The general improvement of socio-economic conditions has resulted in people becoming more educated to make better-informed decisions in health related matters. Individual's perspective on health increases with better understanding of ways to improve lifestyle for better health and living. With the increase in lifestyle related diseases that lead to health problems, there is an increase in the availability of healthcare information. Thus, it is important to identify the factors that influence information seeking behaviour in the area of healthcare and lifestyle. This exploratory study examines the relationship between the factors that affect online health information-seeking behaviour among healthcare product in the capital city of Malaysia.
METHOD: Survey questionnaire was used to collect empirical data. A survey was conducted among 300 healthcare consumers in three main cities in Malaysia where questionnaires were personally distributed through snowball sampling. A total of 271 questionnaire forms were used in the analysis.
RESULTS: Health Behaviour of the consumers influences Health Information Seeking Behaviour. And this relationship is strongly affected by Gender whereby the affect is strongly among females compared to males.
CONCLUSION: The findings indicate that Health Behaviour influences Health Information Seeking Behaviour. Marketers can find out which target segment of population to target when devising information channels for consumers, especially through the Internet. However, message that promotes positive health behaviour to a target audience who already has positive Health Behaviour increase the motivation to Health Information Seeking Behaviour.

Matched MeSH terms: Information Storage and Retrieval*
Fulltext Drug Utilization on Neonatal Wards: A Systematic Review of Observational Studies

Rosli R, Dali AF, Abd Aziz N, Abdullah AH, Ming LC, Manan MM

Front Pharmacol, 2017;8:27.
PMID: 28228724 DOI: 10.3389/fphar.2017.00027

Despite limited evidence on safety and efficacy of drug use in neonates, drugs are extensively used in this age group. However, the availability of information on drug consumption in neonates, especially inpatient neonates, is limited. This paper systematically reviews published studies on drug utilization in hospitalized neonates. A systematic literature review was carried out to identify observational studies published from inception of databases used till August 2016. Four search engines, namely Medline, CINAHL, Embase, and PubMed, were used. Publications written in English that described drug utilization in neonatal wards were selected. Assessment of the data was based on the category of the study design, the objective of study and the method used in reporting drug consumption. A total of 20 drug utilization studies were identified, 12 of which focused on all drug classes, while the other eight evaluated antimicrobials. Studies were reported in Europe (n = 7), the United States (n = 6), India (n = 5), Brazil (n = 1), and Iran (n = 1). Substantial variance with regard to study types (study design and methods), data source, and sample size were found among the selected studies. Of the studies included, 45% were cross-sectional or retrospective, 40% were prospective studies, and the remaining 15% were point prevalence surveys. More than 70% of the studies were descriptive studies, describing drug consumption patterns. Fifteen per cent of the descriptive studies evaluated changes in drug utilization patterns in neonates. Volume of units was the most prevalent method used for reporting all drug categories. The ATC/DDD system for reporting drug use was only seen in studies evaluating antimicrobials. The most commonly reported drugs across all studies are anti-infectives for systemic use, followed by drugs for the cardiovascular system, the nervous system and the respiratory system. Ampicillin and gentamicin were the most prescribed antimicrobials in hospitalized neonates. The present review reveals that neonates are exposed to a high number of drugs and various methods are used to report drug consumption in this age group. The best measure of drug consumption to quantify prevalence of drug use in neonates remains to be identified and additional research in this area is warranted.

Matched MeSH terms: Information Storage and Retrieval
Fish Ontology framework for taxonomy-based fish recognition

Ali NM, Khan HA, Then AY, Ving Ching C, Gaur M, Dhillon SK

PeerJ, 2017;5:e3811.
PMID: 28929028 DOI: 10.7717/peerj.3811

Life science ontologies play an important role in Semantic Web. Given the diversity in fish species and the associated wealth of information, it is imperative to develop an ontology capable of linking and integrating this information in an automated fashion. As such, we introduce the Fish Ontology (FO), an automated classification architecture of existing fish taxa which provides taxonomic information on unknown fish based on metadata restrictions. It is designed to support knowledge discovery, provide semantic annotation of fish and fisheries resources, data integration, and information retrieval. Automated classification for unknown specimens is a unique feature that currently does not appear to exist in other known ontologies. Examples of automated classification for major groups of fish are demonstrated, showing the inferred information by introducing several restrictions at the species or specimen level. The current version of FO has 1,830 classes, includes widely used fisheries terminology, and models major aspects of fish taxonomy, grouping, and character. With more than 30,000 known fish species globally, the FO will be an indispensable tool for fish scientists and other interested users.

Matched MeSH terms: Information Storage and Retrieval
The economic burden of schizophrenia in Malaysia

Teoh SL, Chong HY, Abdul Aziz S, Chemi N, Othman AR, Md Zaki N, et al.

Neuropsychiatr Dis Treat, 2017;13:1979-1987.
PMID: 28814869 DOI: 10.2147/NDT.S137140

INTRODUCTION: Schizophrenia (SCZ) is a highly debilitating disease despite its low prevalence. The economic burden associated with SCZ is substantial and mainly attributed to productivity loss. To improve the understanding of economic burden of SCZ in the low- and middle-income country regions, we aimed to determine the economic burden of SCZ in Malaysia.
METHODS: A retrospective study was conducted using a prevalence-based approach from a societal perspective in Malaysia with a 1 year period from 2013. We used micro-costing technique with bottom-up method and included direct medical cost, direct non-medical cost, and indirect cost. The main data source was medical chart review which was conducted in Hospital Kuala Lumpur (HKL). The medical charts were identified electronically by matching the unique patient's identification number registered under the National Mental Health Schizophrenia Registry and the list of patients in HKL in 2013. Other data sources were government documents, literatures, and local websites. To ensure robustness of result, probabilistic sensitivity analysis was conducted.
RESULTS: The total estimated number of treated SCZ cases in Malaysia in 2015 was 15,104 with the total economic burden of USD 100 million (M) which was equivalent to 0.04% of the national gross domestic product. On average, the mean cost per patient was USD 6,594. Of the total economic burden of SCZ, 72% was attributed to indirect cost, costing at USD 72M, followed by direct medical cost (26%), costing at USD 26M, and direct non-medical cost (2%), costing at USD 1.7M.
CONCLUSION: This study highlights the magnitude of economic burden of SCZ and informs the policy-makers that there is an inadequate support for SCZ patients. More resources should be allocated to improve the condition of SCZ patients and to reduce the economic burden.

Matched MeSH terms: Information Storage and Retrieval
Fulltext PalmXplore: oil palm gene database

Sanusi NSNM, Rosli R, Halim MAA, Chan KL, Nagappan J, Azizi N, et al.

Database (Oxford), 2018 01 01;2018.
PMID: 30239681 DOI: 10.1093/database/bay095

A set of Elaeis guineensis genes had been generated by combining two gene prediction pipelines: Fgenesh++ developed by Softberry and Seqping by the Malaysian Palm Oil Board. PalmXplore was developed to provide a scalable data repository and a user-friendly search engine system to efficiently store, manage and retrieve the oil palm gene sequences and annotations. Information deposited in PalmXplore includes predicted genes, their genomic coordinates, as well as the annotations derived from external databases, such as Pfam, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Information about genes related to important traits, such as those involved in fatty acid biosynthesis (FAB) and disease resistance, is also provided. The system offers Basic Local Alignment Search Tool homology search, where the results can be downloaded or visualized in the oil palm genome browser (MYPalmViewer). PalmXplore is regularly updated offering new features, improvements to genome annotation and new genomic sequences. The system is freely accessible at http://palmxplore.mpob.gov.my.

Matched MeSH terms: Information Storage and Retrieval
Fulltext Classification of forensic autopsy reports through conceptual graph-based document representation model

Mujtaba G, Shuib L, Raj RG, Rajandram R, Shaikh K, Al-Garadi MA

J Biomed Inform, 2018 06;82:88-105.
PMID: 29738820 DOI: 10.1016/j.jbi.2018.04.013

Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation, a clinical report is transformed into a format that is suitable for classification. The traditional document representation technique for text categorization is the bag-of-words (BoW) technique. In this study, the traditional BoW technique is ineffective in classifying forensic autopsy reports because it merely extracts frequent but discriminative features from clinical reports. Moreover, this technique fails to capture word inversion, as well as word-level synonymy and polysemy, when classifying autopsy reports. Hence, the BoW technique suffers from low accuracy and low robustness unless it is improved with contextual and application-specific information. To overcome the aforementioned limitations of the BoW technique, this research aims to develop an effective conceptual graph-based document representation (CGDR) technique to classify 1500 forensic autopsy reports from four (4) manners of death (MoD) and sixteen (16) causes of death (CoD). Term-based and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) based conceptual features were extracted and represented through graphs. These features were then used to train a two-level text classifier. The first level classifier was responsible for predicting MoD. In addition, the second level classifier was responsible for predicting CoD using the proposed conceptual graph-based document representation technique. To demonstrate the significance of the proposed technique, its results were compared with those of six (6) state-of-the-art document representation techniques. Lastly, this study compared the effects of one-level classification and two-level classification on the experimental results. The experimental results indicated that the CGDR technique achieved 12% to 15% improvement in accuracy compared with fully automated document representation baseline techniques. Moreover, two-level classification obtained better results compared with one-level classification. The promising results of the proposed conceptual graph-based document representation technique suggest that pathologists can adopt the proposed system as their basis for second opinion, thereby supporting them in effectively determining CoD.

Matched MeSH terms: Information Storage and Retrieval
Fulltext Estimating dengue incidence and hospitalization in Malaysia, 2001 to 2013

Woon YL, Hor CP, Lee KY, Mohd Anuar SFZ, Mudin RN, Sheikh Ahmad MK, et al.

BMC Public Health, 2018 08 02;18(1):946.
PMID: 30068318 DOI: 10.1186/s12889-018-5849-z

BACKGROUND: Epidemiologic measures of the dengue burden such as prevalence and incidence are important for policy-making and monitoring the progress of disease control. It is a common practice where epidemiologic and economic research estimate dengue burden based on notification data. However, a basic challenge in estimating the incidence of dengue is that a significant proportion of infected population are asymptomatic. It can be overcome by using mathematical models that relate observed prevalence and mortality to incidence. In this study, we estimate the trend of dengue incidence and hospitalization in Malaysia.
METHODS: This study is based entirely on the available secondary data sources on dengue in Malaysia. The age-specific incidence of dengue between 2001 and 2013 was estimated using the prevalence and mortality estimates in an incidence-prevalence-mortality (IPM) model. Data on dengue prevalence were extracted from six sero-surveys conducted in Malaysia between 2001 and 2013; while statistics on dengue notification and Case Fatality Rate were derived from National Dengue Surveillance System. Dengue hospitalization data for the years 2009 to 2013 were extracted from the Health Informatics Centre and the volumes of dengue hospitalization for hospitals with missing data were estimated with Poisson models.
RESULTS: The dengue incidence in Malaysia varied from 69.9 to 93.4 per 1000 population (pkp) between 2001 and 2013.The temporal trend in incidence rate was decreasing since 2001. It has been reducing at an average rate of 2.57 pkp per year from 2001 to 2013 (p = 0.011). The age-specific incidence of dengue decreased steadily with dengue incidence reaching zero by age > 70 years. Dengue notification rate has remained stable since 2001 and the number of notified cases each year was only a small fraction of the incident cases (0.7 to 2.3%). Similarly, the dengue hospitalization was larger but still a small fraction of the incident cases (3.0 to 5.6%).
CONCLUSION: Dengue incidence can be estimated with the use of sero-prevalence surveys and mortality data. This study highlights a reducing trend of dengue incidence in Malaysia and demonstrates the discrepancy between true dengue disease burden and cases reported by national surveillance system. Sero-prevalence studies with representative samples should be conducted regularly to allow better estimation of dengue burden in Malaysia.

Matched MeSH terms: Information Storage and Retrieval
Fulltext A preliminary study for developing operator manual for ruminant abattoirs on prevention of foodborne diseases and halal compliance

Myat Min @ Mohd Omar, Abdulrezak Abdulahi Hashi, Ridhwan Abdul Wahab, Intan Azura Shahdan, Mohd Hishammfariz Mohd Amin, Niza Shamsuddin

International Journal of Allied Health Sciences, 2018;2(3):528-536.
MyJurnal

Foodborne diseases (FBD) can occur along the whole series of food production from the sources and processing until serving for consumers. Among the sources of food, meat is a major concern since it is come from animal origin where the pathogens might transmit to human and/or contaminate microbes from infected meat handlers to consumers at any time. Abattoir operators – managers and workers, and the authorities – Veterinary and Halal officers, play the key role in conversion of live food animals to healthy and edible halal meat and useful animal products fit for human consumption. Abattoir operators, abattoir operating procedures including animal handling and meat process need to abide the standard operating procedures (SOP) as guided by the authority for the safety of meat in meeting the requirements for public health. It is also to be in lines with the halal rules and regulations from the perspective of Islam so that to achieve halal food and products which are beneficial for both physical and spiritual. A number of researches have conducted in the prevalence of FBD but lack of prevention with combination of halal-compliance especially in ruminant abattoir areas. The researcher aims to do preliminary study for developing the required Operator Manual of Ruminant Abattoirs (OMRA) on prevention of FBD and also for halal compliance. This preliminary study will be looking into the process of ruminant abattoir by literature search if its premises, staffs, animal handling and the equipment used are in accordance with the halal compliance and prevention of FBD. From visiting two abattoirs and online data sources, gathering relevant information for ruminant abattoir and halal meat of Malaysia is done. Based on the preliminary findings, the three major accreditations of Malaysia which are MS1500:2009 guidelines of Department of Standards Malaysia, JAKIM (Jabatan Agama Kemajuan Islam Malaysia/ Department of Islamic Development Malaysia) 2008 & 2011 Malaysian halal meat protocols, and DVS (Department of Veterinary Services of Malaysia) code of veterinary practice 2012 respectively. They are compared and analyzed to get the required information for further developing OMRA for the benefits of meat industry, health ministry, global halal market authority and all consumers.

Matched MeSH terms: Information Storage and Retrieval
Fulltext Development of electronic medical records for clinical and research purposes: the breast cancer module using an implementation framework in a middle income country- Malaysia

Mohd Nor NA, Taib NA, Saad M, Zaini HS, Ahmad Z, Ahmad Y, et al.

BMC Bioinformatics, 2019 Feb 04;19(Suppl 13):402.
PMID: 30717675 DOI: 10.1186/s12859-018-2406-9

BACKGROUND: Advances in medical domain has led to an increase of clinical data production which offers enhancement opportunities for clinical research sector. In this paper, we propose to expand the scope of Electronic Medical Records in the University Malaya Medical Center (UMMC) using different techniques in establishing interoperability functions between multiple clinical departments involving diagnosis, screening and treatment of breast cancer and building automatic systems for clinical audits as well as for potential data mining to enhance clinical breast cancer research in the future.
RESULTS: Quality Implementation Framework (QIF) was adopted to develop the breast cancer module as part of the in-house EMR system used at UMMC, called i-Pesakit©. The completion of the i-Pesakit© Breast Cancer Module requires management of clinical data electronically, integration of clinical data from multiple internal clinical departments towards setting up of a research focused patient data governance model. The 14 QIF steps were performed in four main phases involved in this study which are (i) initial considerations regarding host setting, (ii) creating structure for implementation, (iii) ongoing structure once implementation begins, and (iv) improving future applications. The architectural framework of the module incorporates both clinical and research needs that comply to the Personal Data Protection Act.
CONCLUSION: The completion of the UMMC i-Pesakit© Breast Cancer Module required populating EMR including management of clinical data access, establishing information technology and research focused governance model and integrating clinical data from multiple internal clinical departments. This multidisciplinary collaboration has enhanced the quality of data capture in clinical service, benefited hospital data monitoring, quality assurance, audit reporting and research data management, as well as a framework for implementing a responsive EMR for a clinical and research organization in a typical middle-income country setting. Future applications include establishing integration with external organization such as the National Registration Department for mortality data, reporting of institutional data for national cancer registry as well as data mining for clinical research. We believe that integration of multiple clinical visit data sources provides a more comprehensive, accurate and real-time update of clinical data to be used for epidemiological studies and audits.

Matched MeSH terms: Information Storage and Retrieval
Matching of police and hospital road crash casualty records - a data-linkage study in Malaysia

Kamaluddin NA, Abd Rahman MF, Várhelyi A

Int J Inj Contr Saf Promot, 2019 Mar;26(1):52-59.
PMID: 29806792 DOI: 10.1080/17457300.2018.1476385

Underreporting of road crashes hampers the development of appropriate road safety countermeasures in many countries. In this study, police and hospital records from road crash casualties in the Melaka Tengah district in Malaysia from 2014 were collected to determine their matching and reporting rates. Based on authentic personal identifiers from both types of records, Microsoft SQL was used to reveal how the matching rate varies due to multiple factors. The results showed that 311 cases (of 7625 hospital records) could be linked to both databases, yielding a 4.1% matching rate and a 4.7% police reporting rate. Both the reporting and matching rates increased with the level of injury severity. The significant underreporting in the police database showed that complementary data are necessary for enhancing the current official crash data records.

Matched MeSH terms: Information Storage and Retrieval

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links