Displaying publications 41 - 60 of 353 in total

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  1. Trimarsanto H, Amato R, Pearson RD, Sutanto E, Noviyanti R, Trianty L, et al.
    Commun Biol, 2022 Dec 23;5(1):1411.
    PMID: 36564617 DOI: 10.1038/s42003-022-04352-2
    Traditionally, patient travel history has been used to distinguish imported from autochthonous malaria cases, but the dormant liver stages of Plasmodium vivax confound this approach. Molecular tools offer an alternative method to identify, and map imported cases. Using machine learning approaches incorporating hierarchical fixation index and decision tree analyses applied to 799 P. vivax genomes from 21 countries, we identified 33-SNP, 50-SNP and 55-SNP barcodes (GEO33, GEO50 and GEO55), with high capacity to predict the infection's country of origin. The Matthews correlation coefficient (MCC) for an existing, commonly applied 38-SNP barcode (BR38) exceeded 0.80 in 62% countries. The GEO panels outperformed BR38, with median MCCs > 0.80 in 90% countries at GEO33, and 95% at GEO50 and GEO55. An online, open-access, likelihood-based classifier framework was established to support data analysis (vivaxGEN-geo). The SNP selection and classifier methods can be readily amended for other use cases to support malaria control programs.
    Matched MeSH terms: Internet
  2. Tian X, Tian Z, Khatib SFA, Wang Y
    PLoS One, 2024;19(4):e0300195.
    PMID: 38625972 DOI: 10.1371/journal.pone.0300195
    Internet finance has permeated into myriad households, bringing about lifestyle convenience alongside potential risks. Presently, internet finance enterprises are progressively adopting machine learning and other artificial intelligence methods for risk alertness. What is the current status of the application of various machine learning models and algorithms across different institutions? Is there an optimal machine learning algorithm suited for the majority of internet finance platforms and application scenarios? Scholars have embarked on a series of studies addressing these questions; however, the focus predominantly lies in comparing different algorithms within specific platforms and contexts, lacking a comprehensive discourse and summary on the utilization of machine learning in this domain. Thus, based on the data from Web of Science and Scopus databases, this paper conducts a systematic literature review on all aspects of machine learning in internet finance risk in recent years, based on publications trends, geographical distribution, literature focus, machine learning models and algorithms, and evaluations. The research reveals that machine learning, as a nascent technology, whether through basic algorithms or intricate algorithmic combinations, has made significant strides compared to traditional credit scoring methods in predicting accuracy, time efficiency, and robustness in internet finance risk management. Nonetheless, there exist noticeable disparities among different algorithms, and factors such as model structure, sample data, and parameter settings also influence prediction accuracy, although generally, updated algorithms tend to achieve higher accuracy. Consequently, there is no one-size-fits-all approach applicable to all platforms; each platform should enhance its machine learning models and algorithms based on its unique characteristics, data, and the development of AI technology, starting from key evaluation indicators to mitigate internet finance risks.
    Matched MeSH terms: Internet
  3. Thornber K, Huso D, Rahman MM, Biswas H, Rahman MH, Brum E, et al.
    Glob Health Action, 2019;12(sup1):1734735.
    PMID: 32153258 DOI: 10.1080/16549716.2020.1734735
    One of the key strategic objectives of the World Health Organisation's global antimicrobial resistance (AMR) action plan is to improve public awareness and understanding of this issue. Very few AMR awareness campaigns have targeted the animal production sector, particularly in low- and middle-income countries (LMICs) where rural communities can be geographically difficult to access via traditional face-to-face community engagement methods. Aquaculture is a major food production industry in Bangladesh and across Asia, an area which poses a significant risk to global AMR dissemination. In this pilot study, we sought to investigate the potential for digital communication materials to rapidly and effectively communicate AMR messages to rural aquaculture farmers in Bangladesh. Working with stakeholders from the Bangladesh aquaculture industry, we developed a 4-minute digital animation designed specifically for this audience and assessed its capacity to engage and communicate AMR messages to farmers. We then conducted a small-scale social media campaign, to determine the potential for rapidly disseminating AMR awareness materials to a large audience across Bangladesh, where there is an extensive 4 G internet network and an ever-increasing proportion of the population (57% as of December 2019) have mobile internet access. Thirty-six farmers were surveyed: all of them liked this method of communication and 97% said it would change the way they use antibiotics in the future. Through the social media campaign, the animation received 9,100 views in the first 2 weeks alone. Although preliminary, these results demonstrate the huge potential for digital communication methods for the rapid and widespread communication of AMR awareness materials to rural aquaculture communities in Bangladesh and across Asia. Our results support the need for more research into the most appropriate and effective content of AMR awareness campaigns for aquaculture communities and question the need for explaining the science underlying AMR in such communication materials.
    Matched MeSH terms: Internet*
  4. Tham PE, Ng YJ, Vadivelu N, Lim HR, Khoo KS, Chew KW, et al.
    Bioresour Technol, 2022 Feb;346:126558.
    PMID: 34906702 DOI: 10.1016/j.biortech.2021.126558
    This research work aims to fabricate an optimized up-scaled photobioreactor and extraction tank which incorporates the Internet of Things (IoT) for remote monitoring of selected parameters without being present in the lab as the industry is gradually moving towards the direction of remote operation. Several design factors were considered where modelling using ANSYS was carried out before the finalised design is drawn using AutoCAD. To monitor critical parameters that include liquid level, temperature, and pH condition during the operation of the tanks, water-proof sensors are implemented with the aid of Arduino NodeMCU board and the sensors are linked with Blynk, a smartphone application that allows remote monitoring via Wi-Fi connection. The sensors' results obtained using the Blynk application show high accuracy as compared with manual data except for photobioreactor liquid level. This shows that IoT and remote monitoring can be integrated successfully.
    Matched MeSH terms: Internet
  5. Teo CH, Ng CJ, White A
    BMJ Open, 2017 03 10;7(3):e014364.
    PMID: 28283491 DOI: 10.1136/bmjopen-2016-014364
    OBJECTIVES: Uptake of health screening is low in men, particularly among those aged <40 years. This study aimed to explore factors that influence health screening behaviour in younger men.

    DESIGN: This qualitative study employed an interpretive descriptive approach. Two trained researchers conducted in-depth interviews (IDIs) and focus group discussions (FGDs) using a semi-structured topic guide, which was developed based on literature review and behavioural theories. All IDIs and FGDs were audio-recorded and transcribed verbatim. Two researchers analysed the data independently using a thematic approach.

    PARTICIPANTS AND SETTING: Men working in a banking institution in Kuala Lumpur were recruited to the study. They were purposively sampled according to their ethnicity, job position, age and screening status in order to achieve maximal variation.

    RESULTS: Eight IDIs and five FGDs were conducted (n=31) and six themes emerged from the analysis. (1) Young men did not consider screening as part of prevention and had low risk perception. (2) The younger generation was more receptive to health screening due to their exposure to health information through the internet. (3) Health screening was not a priority in young men except for those who were married. (4) Young men had limited income and would rather invest in health insurance than screening. (5) Young men tended to follow doctors' advice when it comes to screening and preferred doctors of the same gender and ethnicity. (6) Medical overuse was also raised where young men wanted more screening tests while doctors tended to promote unnecessary screening tests to them.

    CONCLUSIONS: This study identified important factors that influenced young men's screening behaviour. Health authorities should address young men's misperceptions, promote the importance of early detection and develop a reasonable health screening strategy for them. Appropriate measures must be put in place to reduce low value screening practices.

    Matched MeSH terms: Internet
  6. Teng CL
    MyJurnal
    In the developing world, clinical knowledge management in primary care has a long way to go. Clinical decision support systems, despite its promise to revolutionise healthcare, is slow in its implementation due to the lack of financial investment in information technology. Point-of-care resources, such as comprehensive electronic textbooks delivered via the web or mobile devices, have yet to be fully utilised by the healthcare organisation or individual clinicians. Increasing amount of applicable knowledge of good quality (e.g. clinical practice guidelines and other pre-appraised resources) are now available via the internet. The policy makers and clinicians need to be more informed about the potential benefits and
    limitations of these new tools and resources and make the necessary budgetary provision and learn how best to harness them for patient care.
    Matched MeSH terms: Internet
  7. Tateno M, Teo AR, Shirasaka T, Tayama M, Watabe M, Kato TA
    Psychiatry Clin Neurosci, 2016 Dec;70(12):567-572.
    PMID: 27573254 DOI: 10.1111/pcn.12454
    AIM: Internet addiction (IA), also referred to as Internet use disorder, is a serious problem all over the world, especially in Asian countries. Severe IA in students may be linked to academic failure, attention-deficit hyperactivity disorder (ADHD), and forms of social withdrawal, such as hikikomori. In this study, we performed a survey to investigate the relation between IA and ADHD symptoms among college students.

    METHODS: Severity of IA and ADHD traits was assessed by self-report scales. Subjects were 403 college students (response rate 78%) who completed a questionnaire including Young's Internet Addiction Test (IAT) and the Adult ADHD Self-Report Scale-V1.1.

    RESULTS: Out of 403 subjects, 165 were male. The mean age was 18.4 ± 1.2 years, and mean total IAT score was 45.2 ± 12.6. One hundred forty-eight respondents (36.7%) were average Internet users (IAT < 40), 240 (59.6%) had possible addiction (IAT 40-69), and 15 (3.7%) had severe addiction (IAT ≥ 70). Mean length of Internet use was 4.1 ± 2.8 h/day on weekdays and 5.9 ± 3.7 h/day on the weekend. Females used the Internet mainly for social networking services while males preferred online games. Students with a positive ADHD screen scored significantly higher on the IAT than those negative for ADHD screen (50.2 ± 12.9 vs 43.3 ± 12.0).

    CONCLUSION: Our results suggest that Internet misuse may be related to ADHD traits among Japanese youth. Further investigation of the links between IA and ADHD is warranted.

    Matched MeSH terms: Internet/statistics & numerical data*
  8. Tanusha N, Leelavathi M, Azimah NM
    Med J Malaysia, 2023 Nov;78(6):763-767.
    PMID: 38031218
    INTRODUCTION: Digital devices are an integral part of children's lives, and its use is associated with both risks and benefits. The aim of this study was to determine parent's perception of digital device use among their preschool children.

    MATERIALS AND METHODS: A cross-sectional study was conducted among parents of 145 children in the year 2020. Participants were selected using multistage randomisation technique from 10 of the 75 registered government kindergartens in Kota Setar District, Kedah. Data were collected using a self-administered questionnaire. Analysis was done using descriptive statistics and the association between parent's demographic characteristics and the overall perception of digital media use by their preschool children was tested using Chi-square test.

    RESULTS: A total of 150 questionnaires were distributed, and 145 were returned (96.7% response rate) out of which 139 were complete. We found that parent's overall perception of their preschool children using digital devices was mixed, where about one-third of them perceived that digital device use was a risk, one-third perceived it as beneficial while onethird were unsure. The common perception of risk was that digital devices impaired children's physical (71.9-90.6%) and intellectual domains (71.9-86.3%) especially causing damage to eyesight (90.6%), causing addiction (86.3%) and exposed to radiation (81.3%). The perceived benefits of using digital device were mainly in the social domain, promoting technology awareness (64.8%), easily accessible and portable (63.3%) and entertaining (64.0%). They also perceived that digital devices promoted creative and interactive learning (62.6%). Parent's overall perception of digital media use was associated with their employment status (p=0.028).

    CONCLUSION: Parent's overall perception regarding digital device use among their preschool children was mixed. They perceived that digital devices commonly cause risk to the physical and intellectual aspects of their children while there are some benefits to the social aspects. There is an association between parent's overall perception and employment status.

    Matched MeSH terms: Internet*
  9. Tan SY, Dutta A, Jakubovics NS, Ang MY, Siow CC, Mutha NV, et al.
    BMC Bioinformatics, 2015;16:9.
    PMID: 25591325 DOI: 10.1186/s12859-014-0422-y
    Yersinia is a Gram-negative bacteria that includes serious pathogens such as the Yersinia pestis, which causes plague, Yersinia pseudotuberculosis, Yersinia enterocolitica. The remaining species are generally considered non-pathogenic to humans, although there is evidence that at least some of these species can cause occasional infections using distinct mechanisms from the more pathogenic species. With the advances in sequencing technologies, many genomes of Yersinia have been sequenced. However, there is currently no specialized platform to hold the rapidly-growing Yersinia genomic data and to provide analysis tools particularly for comparative analyses, which are required to provide improved insights into their biology, evolution and pathogenicity.
    Matched MeSH terms: Internet
  10. Tan MP, Morgan K
    Curr Opin Psychiatry, 2015 Sep;28(5):371-7.
    PMID: 26181666 DOI: 10.1097/YCO.0000000000000181
    To evaluate recent literature on psychological interventions in cardiovascular disease.
    Matched MeSH terms: Internet
  11. Tan EC, Loh M, Chuon D, Lim YP
    Hum Mutat, 2006 Mar;27(3):232-5.
    PMID: 16429432
    There is a need for country/population-specific databases because the existence of population-specific mutations for single gene disorders is well documented, and there is also good evidence for ethnic differences in the frequencies of genetic variations involved in complex disorders. Thus the Singapore Human Mutation/Polymorphism Database (SHMPD) was created to provide clinicians and scientists access to a central genetic database for the Singapore population. The data catalogued in the database include mutations identified in Singapore for Mendelian diseases, and frequencies of polymorphisms that have been investigated in either healthy controls or samples associated with specific phenotypes. Data from journal articles identified by searches in PubMed and other online resources, and via personal communications with researchers were compiled and assembled into a single database. Genes are categorized alphabetically and are also searchable by name and disease. The information provided for each variant of the gene includes the protein encoded, phenotype association, gender, size, and ethnic origin of the sample, as well as the reported genotype and allele frequencies, and direct links to the corresponding abstracts on PubMed. Our database will facilitate molecular diagnosis of Mendelian disorders and improve study designs for complex traits. It will be useful not only for researchers in Singapore, but also for those in countries with similar ethnic backgrounds, such as China, Taiwan, Hong Kong, Indonesia, and Malaysia.
    Matched MeSH terms: Internet
  12. Tan CH, Teh YW
    J Med Syst, 2013 Aug;37(4):9950.
    PMID: 23709190 DOI: 10.1007/s10916-013-9950-7
    The main obstacles in mass adoption of cloud computing for database operations in healthcare organization are the data security and privacy issues. In this paper, it is shown that IT services particularly in hardware performance evaluation in virtual machine can be accomplished effectively without IT personnel gaining access to actual data for diagnostic and remediation purposes. The proposed mechanisms utilized the hypothetical data from TPC-H benchmark, to achieve 2 objectives. First, the underlying hardware performance and consistency is monitored via a control system, which is constructed using TPC-H queries. Second, the mechanism to construct stress-testing scenario is envisaged in the host, using a single or combination of TPC-H queries, so that the resource threshold point can be verified, if the virtual machine is still capable of serving critical transactions at this constraining juncture. This threshold point uses server run queue size as input parameter, and it serves 2 purposes: It provides the boundary threshold to the control system, so that periodic learning of the synthetic data sets for performance evaluation does not reach the host's constraint level. Secondly, when the host undergoes hardware change, stress-testing scenarios are simulated in the host by loading up to this resource threshold level, for subsequent response time verification from real and critical transactions.
    Matched MeSH terms: Internet*
  13. Talal M, Zaidan AA, Zaidan BB, Albahri AS, Alamoodi AH, Albahri OS, et al.
    J Med Syst, 2019 Jan 15;43(3):42.
    PMID: 30648217 DOI: 10.1007/s10916-019-1158-z
    The Internet of Things (IoT) has been identified in various applications across different domains, such as in the healthcare sector. IoT has also been recognised for its revolution in reshaping modern healthcare with aspiring wide range prospects, including economical, technological and social. This study aims to establish IoT-based smart home security solutions for real-time health monitoring technologies in telemedicine architecture. A multilayer taxonomy is driven and conducted in this study. In the first layer, a comprehensive analysis on telemedicine, which focuses on the client and server sides, shows that other studies associated with IoT-based smart home applications have several limitations that remain unaddressed. Particularly, remote patient monitoring in healthcare applications presents various facilities and benefits by adopting IoT-based smart home technologies without compromising the security requirements and potentially large number of risks. An extensive search is conducted to identify articles that handle these issues, related applications are comprehensively reviewed and a coherent taxonomy for these articles is established. A total number of (n = 3064) are gathered between 2007 and 2017 for most reliable databases, such as ScienceDirect, Web of Science and Institute of Electrical and Electronic Engineer Xplore databases. Then, the articles based on IoT studies that are associated with telemedicine applications are filtered. Nine articles are selected and classified into two categories. The first category, which accounts for 22.22% (n = 2/9), includes surveys on telemedicine articles and their applications. The second category, which accounts for 77.78% (n = 7/9), includes articles on the client and server sides of telemedicine architecture. The collected studies reveal the essential requirement in constructing another taxonomy layer and review IoT-based smart home security studies. Therefore, IoT-based smart home security features are introduced and analysed in the second layer. The security of smart home design based on IoT applications is an aspect that represents a crucial matter for general occupants of smart homes, in which studies are required to provide a better solution with patient security, privacy protection and security of users' entities from being stolen or compromised. Innovative technologies have dispersed limitations related to this matter. The existing gaps and trends in this area should be investigated to provide valuable visions for technical environments and researchers. Thus, 67 articles are obtained in the second layer of our taxonomy and are classified into six categories. In the first category, 25.37% (n = 17/67) of the articles focus on architecture design. In the second category, 17.91% (n = 12/67) includes security analysis articles that investigate the research status in the security area of IoT-based smart home applications. In the third category, 10.44% (n = 7/67) includes articles about security schemes. In the fourth category, 17.91% (n = 12/67) comprises security examination. In the fifth category, 13.43% (n = 9/67) analyses security protocols. In the final category, 14.92% (n = 10/67) analyses the security framework. Then, the identified basic characteristics of this emerging field are presented and provided in the following aspects. Open challenges experienced on the development of IoT-based smart home security are addressed to be adopted fully in telemedicine applications. Then, the requirements are provided to increase researcher's interest in this study area. On this basis, a number of recommendations for different parties are described to provide insights on the next steps that should be considered to enhance the security of smart homes based on IoT. A map matching for both taxonomies is developed in this study to determine the novel risks and benefits of IoT-based smart home security for real-time remote health monitoring within client and server sides in telemedicine applications.
    Matched MeSH terms: Internet
  14. T'ng ST, Ho KH, Sim DE, Yu CH, Wong PY
    Psych J, 2020 Feb;9(1):96-107.
    PMID: 31797557 DOI: 10.1002/pchj.320
    Insufficient attention has been given to the integration of the mediating effect of Internet gaming disorder (IGD) symptoms on loneliness and four components of aggression-physical aggression, verbal aggression, anger, and hostility-in the Malaysian context. In the present study, 410 participants with (a) at least 1 year of Internet gaming experience and (b) between ages 20- to 39 years were recruited using the probability proportional to size sampling method. Participants were undergraduate students and working adults. Self-reported questionnaires (the Internet Gaming Disorder Scale, University of California, Los Angeles Loneliness Scale, and the Buss-Perry Aggression Questionnaire) were used. The present study found that loneliness positively predicted four components of aggression (i.e., anger, hostility, physical aggression, and verbal aggression) and symptoms of IGD. Relationships between loneliness and the four components of aggression were partially mediated by IGD symptoms. The present study enriches and consolidates existing empirical evidence, particularly in the Malaysian context. If the mediating effect is not emphasized, it may lead to spurious conclusions that can significantly diminish the effectiveness of interventions that are meant to manage aggression.
    Matched MeSH terms: Internet
  15. Syed-Mohamad SM, Ali SH, Mat-Husin MN
    Health Inf Manag, 2010;39(1):30-5.
    PMID: 20335647
    This paper describes the method used to develop the One Stop Crisis Centre (OSCC) Portal, an open source web-based electronic patient record system (EPR) for the One Stop Crisis Center, Hospital Universiti Sains Malaysia (HUSM) in Kelantan, Malaysia. Features and functionalities of the system are presented to demonstrate the workflow. Use of the OSCC Portal improved data integration and data communication and contributed to improvements in care management. With implementation of the OSCC portal, improved coordination between disciplines and standardisation of data in HUSM were noticed. It is expected that this will in turn result in improved data confidentiality and data integrity. The collected data will also be useful for quality assessment and research. Other low-resource centers with limited computer hardware and access to open-source software could benefit from this endeavour.
    Matched MeSH terms: Internet*
  16. Syed-Mohamad SM
    Comput Methods Programs Biomed, 2009 Jan;93(1):83-92.
    PMID: 18789553 DOI: 10.1016/j.cmpb.2008.07.011
    To develop and implement a collective web-based system to monitor child growth in order to study children with malnutrition.
    Matched MeSH terms: Internet*
  17. Syed-Mohamad SM, Pardi KW, Zainal NA, Ismail Z
    PMID: 17102245
    The School of Health Sciences, Universiti Sains Malaysia (SHS) is planning to expand its contribution to produce more graduate nurses by offering a nursing degree through e-learning. After three years of using e-learning by four lecturers in seven nursing courses, we conducted a study to get the lecturers feedback and to compare the students' preference and their actual experiences in e-learning. Lecturers' feedback were collected based on six open-ended questions. Feedback from all the 36 final year nursing students were collected using Constructivist On-line Learning Environment Survey (COLLES)--the Student Experience/Preferred Form. Results show that lecturers and students have positive perception on e-learning. They perceive e-learning as a powerful and effective tool for expanding nursing education to meet the demand for a labour force that is knowledgeable, highly skilled and equipped with positive values. We believe blended learning is the most suitable approach to implement e-learning and social constructivism theory provides the dynamic view of learning. To increase success in e-learning implementation for the nursing programme, lecturers should be educated regarding proper instructional design so that their content delivery blends well with the technology and pedagogy.
    Matched MeSH terms: Internet*
  18. Syed-Mohamad SM, Ali SH, Mat-Husin MN
    Health Inf Manag, 2010 Mar;39(1):30-35.
    PMID: 28683624 DOI: 10.1177/183335831003900105
    This paper describes the method used to develop the One Stop Crisis Centre (OSCC) Portal, an open-source web-based electronic patient record system (EPR) for the One Stop Crisis Center, Hospital Universiti Sains Malaysia (HUSM) in Kelantan, Malaysia. Features and functionalities of the system are presented to demonstrate the workflow. Use of the OSCC Portal improved data integration and data communication and contributed to improvements in care management. With implementation of the OSCC portal, improved coordination between disciplines and standardisation of data in HUSM were noticed. It is expected that this will in turn result in improved data confidentiality and data integrity. The collected data will also be useful for quality assessment and research. Other low-resource centers with limited computer hardware and access to open-source software could benefit from this endeavour.
    Matched MeSH terms: Internet
  19. Swami V, Weis L, Lay A, Barron D, Furnham A
    Psychiatry Res, 2016 Feb 28;236:86-90.
    PMID: 26776299 DOI: 10.1016/j.psychres.2015.12.027
    Conspiracy theories can be treated as both rational narratives of the world as well as outcomes of underlying maladaptive traits. Here, we examined associations between belief in conspiracy theories and individual differences in personality disorders. An Internet-based sample (N=259) completed measures of belief in conspiracy theories and the 25 facets of the Personality Inventory for DSM-5 (PID-5). Preliminary analyses showed no significant differences in belief in conspiracy theories across participant sex, ethnicity, and education. Regression analyses showed that the PID-5 facets of Unusual Beliefs and Experiences and, to a lesser extent, Suspiciousness, significantly predicted belief in conspiracy theories. These findings highlight a role for maladaptive personality traits in understanding belief in conspiracy theories, but require further investigation.
    Matched MeSH terms: Internet*
  20. Suzana Shahar, Divya Vanoh, Intan Hafizah Mohd Ishak, Zahara Abdul Manaf, Rosdinom Razali, Nazlena Mohd Ali, et al.
    Jurnal Sains Kesihatan Malaysia, 2018;16(101):233-234.
    MyJurnal
    Relatively less comprehensive web based programme has been developed for detecting risk of mild cognitive impairment (MCI) and further impart preventive strategies and lifestyle education. Thus, this study has developed a comprehensive web based programme for early screening of risk of MCI together with education package for preventing MCI known as WESIHAT 2.0. WESIHAT 2.0 is a senior friendly website which has appropriate design interface facilitating access of older people especially with the use of touch-screen technology. WESIHAT 2.0 has incorporated four major components namely TUA WELLNESS screening tool, which is a comprehensive, online based, 10-item screening tool for detecting risk of MCI, 10-guides for preventing MCI, health diary and healthy food. Evaluation of acceptance of WESIHAT 2.0 was done among 71 people which comprised of 30 older people and 30 caregivers, chosen equally based on ethnic composition and 11 health care professionals who has experience working in the field of geriatric and 2 freelance website developer. All older people and caregivers stated that the content of website was very useful for preventing MCI, however, about 36.4% of health professionals stated several improvements needed to be done before releasing the end-product to the users. Comments given were smaller font size (27.3), addition of more pictures (27.3%), using simpler terms (36.4%) and changing certain design for better view of older people (18.2%). Amendments were made based on each comment given and the finalized website were used for a 6-month intervention programme for neuroprotection among older people who failed to achieve successful aging. It is timely for an online based approach for prevention of MCI. WESIHAT 2.0 is the first website in Malaysia which has been accepted by all older people and caregiver and more than half of healthcare professionals to prevent memory decline.
    Matched MeSH terms: Internet
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