Displaying publications 1 - 20 of 45 in total

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  1. Fulltext Big data: survey, technologies, opportunities, and challenges
    Khan N, Yaqoob I, Hashem IA, Inayat Z, Ali WK, Alam M, et al.
    ScientificWorldJournal, 2014;2014:712826.
    PMID: 25136682 DOI: 10.1155/2014/712826
    Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Nonetheless, Big Data is still in its infancy stage, and the domain has not been reviewed in general. Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a data life cycle that uses the technologies and terminologies of Big Data. Future research directions in this field are determined based on opportunities and several open issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal techniques to address Big Data.
    Matched MeSH terms: Information Dissemination
  2. Fulltext Modifying antibiotic prescribing: the effectiveness of academic detailing plus information leaflet in a Malaysian primary care setting
    Teng CL, Achike FI, Phua KL, Nurjahan MI, Mastura I, Asiah HN, et al.
    Med J Malaysia, 2006 Aug;61(3):323-31.
    PMID: 17240584
    We assessed the effectiveness of an educational intervention in reducing antibiotic prescribing in public primary care clinics in Malaysia. Twenty-nine medical officers in nine clinics received an educational intervention consisting of academic detailing from the resident Family Medicine Specialist, as well as an information leaflet. The antibiotic prescribing rates were assessed for six months - three months before and three months after the intervention. A total of 28,562 prescriptions were analyzed. Among participating doctors, general antibiotic prescribing rates for pre- and post-intervention phases were 14.3% and 11.0% (post-intervention vs pre-intervention RR 0.77, 95% CI 0.72 to 0.83). The URTI-specific antibiotic prescribing rates for pre- and post-intervention phases were 27.7% and 16.6%, respectively (post-intervention vs pre-intervention RR 0.60, 95% CI 0.54 to 0.66). No significant change in antibiotic prescribing rates was observed among primary care practitioners who did not participate in the study. This low cost educational intervention using both active and passive strategies focusing on URTI produced a statistically significant (and clinically important) reduction in antibiotic prescribing.
    Study site: Klinik Kesihatan, Negeri Sembilan, Malaysia
    Matched MeSH terms: Information Dissemination/methods
  3. Fulltext An evaluation of information dissemination during the severe acute respiratory syndrome (SARS) outbreak among selected rural communities in Kuala Kangsar
    Hazreen AM, Myint Myint S, Farizah H, Abd Rashid M, Chai CC, Dymna VK, et al.
    Med J Malaysia, 2005 Jun;60(2):180-7.
    PMID: 16114158
    To assess the level of knowledge, attitude and practice (KAP) on SARS and its preventive measures among the rural population of Kuala Kangsar district. This KAP study was also done to identify the expectation and preference of rural population upon obtaining health information. This is a cross-sectional study of 201 households from four villages in Kuala Kangsar. Face-to-face interview was done regarding knowledge, attitude and practice on SARS and its preventive measures. Statistical analyses were performed with SPSS (Version 10.0). A scoring system was used to assess the level of knowledge, attitude and practice towards SARS. Ninety one percent of the study population was aware of SARS. Majority of them have good attitude towards SARS based on the formulated scoring system. Television was found to be the first hand information about SARS and most preferred source of information by the rural population. Knowledge and attitude of respondents concerning SARS were good. Television was found to be the preference among the rural population in obtaining health information.
    Matched MeSH terms: Information Dissemination*
  4. The power of YouTube videos for surgical journals
    AlHasan AJMS
    Surgery, 2023 Sep;174(3):744-746.
    PMID: 37419760 DOI: 10.1016/j.surg.2023.05.042
    Surgical journals use videos for educational and promotional purposes. YouTube is a suitable social media platform for sharing videos of journal content. The Surgery journal experience on YouTube can be used to learn important information on the nature of video content, the measurement of performance, and the benefits and challenges of using YouTube to disseminate journal content. Video content can be created to deliver information and infotainment. The online performance of videos can be measured using various metrics on YouTube Analytics, including content views and engagement metrics. There are several benefits to the use of YouTube videos by surgical journals, including the dissemination of reliable information, language versatility and diversity, open access and portability, increased visibility for authors and journals, and the humanization of the journal interface. However, challenges also need to be overcome, including viewer discretion where graphic content is concerned, copyright protection, limitations of Internet connection bandwidth, algorithmic barriers imposed by YouTube itself, and violations of biomedical ethics.
    Matched MeSH terms: Information Dissemination
  5. Fulltext Exploring new frontiers of electronic publishing in biomedical science
    Ng KH
    Singapore Med J, 2009 Mar;50(3):230-4.
    PMID: 19352562
    Publishing is a hallmark of good scientific research. The aim of publishing is to disseminate new research knowledge and findings as widely as possible in a timely and efficient manner. Scientific publishing has evolved over the years with the advent of new technologies and demands. This paper presents a brief discussion on the history and status of electronic publishing. The Open Access Initiative was created with the aim of overcoming various limitations faced by traditional publishing access models. Innovations have opened up possibilities for electronic publishing to increase the accessibility, visibility, interactivity and usability of research. A glimpse of the future publishing landscape has revealed that scientific communication and research will not remain the same. The internet and advances in information technology will have an impact on the research landscape, scholarly publishing, research policy and funding, dissemination of knowledge, and the progress of science as a whole.
    Matched MeSH terms: Information Dissemination
  6. Fulltext Secured and Privacy-Preserving Multi-Authority Access Control System for Cloud-Based Healthcare Data Sharing
    Gupta R, Kanungo P, Dagdee N, Madhu G, Sahoo KS, Jhanjhi NZ, et al.
    Sensors (Basel), 2023 Feb 27;23(5).
    PMID: 36904822 DOI: 10.3390/s23052617
    With continuous advancements in Internet technology and the increased use of cryptographic techniques, the cloud has become the obvious choice for data sharing. Generally, the data are outsourced to cloud storage servers in encrypted form. Access control methods can be used on encrypted outsourced data to facilitate and regulate access. Multi-authority attribute-based encryption is a propitious technique to control who can access encrypted data in inter-domain applications such as sharing data between organizations, sharing data in healthcare, etc. The data owner may require the flexibility to share the data with known and unknown users. The known or closed-domain users may be internal employees of the organization, and unknown or open-domain users may be outside agencies, third-party users, etc. In the case of closed-domain users, the data owner becomes the key issuing authority, and in the case of open-domain users, various established attribute authorities perform the task of key issuance. Privacy preservation is also a crucial requirement in cloud-based data-sharing systems. This work proposes the SP-MAACS scheme, a secure and privacy-preserving multi-authority access control system for cloud-based healthcare data sharing. Both open and closed domain users are considered, and policy privacy is ensured by only disclosing the names of policy attributes. The values of the attributes are kept hidden. Characteristic comparison with similar existing schemes shows that our scheme simultaneously provides features such as multi-authority setting, expressive and flexible access policy structure, privacy preservation, and scalability. The performance analysis carried out by us shows that the decryption cost is reasonable enough. Furthermore, the scheme is demonstrated to be adaptively secure under the standard model.
    Matched MeSH terms: Information Dissemination
  7. Fulltext Empowering Precision Medicine: Unlocking Revolutionary Insights through Blockchain-Enabled Federated Learning and Electronic Medical Records
    Ali A, Al-Rimy BAS, Tin TT, Altamimi SN, Qasem SN, Saeed F
    Sensors (Basel), 2023 Aug 28;23(17).
    PMID: 37687931 DOI: 10.3390/s23177476
    Precision medicine has emerged as a transformative approach to healthcare, aiming to deliver personalized treatments and therapies tailored to individual patients. However, the realization of precision medicine relies heavily on the availability of comprehensive and diverse medical data. In this context, blockchain-enabled federated learning, coupled with electronic medical records (EMRs), presents a groundbreaking solution to unlock revolutionary insights in precision medicine. This abstract explores the potential of blockchain technology to empower precision medicine by enabling secure and decentralized data sharing and analysis. By leveraging blockchain's immutability, transparency, and cryptographic protocols, federated learning can be conducted on distributed EMR datasets without compromising patient privacy. The integration of blockchain technology ensures data integrity, traceability, and consent management, thereby addressing critical concerns associated with data privacy and security. Through the federated learning paradigm, healthcare institutions and research organizations can collaboratively train machine learning models on locally stored EMR data, without the need for data centralization. The blockchain acts as a decentralized ledger, securely recording the training process and aggregating model updates while preserving data privacy at its source. This approach allows the discovery of patterns, correlations, and novel insights across a wide range of medical conditions and patient populations. By unlocking revolutionary insights through blockchain-enabled federated learning and EMRs, precision medicine can revolutionize healthcare delivery. This paradigm shift has the potential to improve diagnosis accuracy, optimize treatment plans, identify subpopulations for clinical trials, and expedite the development of novel therapies. Furthermore, the transparent and auditable nature of blockchain technology enhances trust among stakeholders, enabling greater collaboration, data sharing, and collective intelligence in the pursuit of advancing precision medicine. In conclusion, this abstract highlights the transformative potential of blockchain-enabled federated learning in empowering precision medicine. By unlocking revolutionary insights from diverse and distributed EMR datasets, this approach paves the way for a future where healthcare is personalized, efficient, and tailored to the unique needs of each patient.
    Matched MeSH terms: Information Dissemination
  8. Fulltext Medical professionalism videos on YouTube: Content exploration and appraisal of user engagement
    Ahmad T, Sattar K, Akram A
    Saudi J Biol Sci, 2020 Sep;27(9):2287-2292.
    PMID: 32884409 DOI: 10.1016/j.sjbs.2020.06.007
    Background: Social media has become the fastest growing platform for sharing and retrieving information and knowledge, and YouTube is one of the most popular and growing sources of health and educational information video-sharing website. But, videos on this open platform are not peer-assessed, therefore, the accessible data should be adequately assessed. Till date, no exploration and analysis for assessing the credibility and usefulness of Medical professionalism videos available on YouTube are conducted.

    Objective: To analyze the video sources, contents and quality of YouTube videos about the topic of medical professionalism.

    Methods: A systematic search was accomplished on YouTube videos during the period between March 1, 2020 and March 27, 2020. The phrases as significant words used throughout YouTube web search were 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', 'Attributes of professionalism'. The basic information collected for each video included author's/publisher's name, total number of watchers, likes, dislikes and positive and undesirable remarks. The videos were categorized into educationally useful and useless established on the content, correctness of the knowledge and the advices. Different variables were measured and correlated for the data analysis.YouTube website was searched the using keywords 'Professionalism in Medical Education', Professionalism in medicine', 'Professionalism of medical students', 'Professionalism in healthcare'. 'Teaching professionalism', and 'Attributes of professionalism'.

    Results: After 2 rounds of screening by the subject experts and critical analysis of all the 137 YouTube videos, only 41 (29.92%) were identified as pertinent to the subject matter, i.e., educational type. After on expert viewing these 41 videos established upon our pre-set inclusion/exclusion criteria, only 17 (41.46%) videos were found to be academically valuable in nature.

    Conclusion: Medical professionalism multimedia videos uploaded by the healthcare specialists or organizations on YouTube provided reliable information for medical students, healthcare workers and other professional. We conclude that YouTube is a leading and free online source of videos meant for students or other healthcare workers yet the viewers need to be aware of the source prior to using it for training learning.

    Matched MeSH terms: Information Dissemination
  9. Fulltext Unethical research trend: shadow libraries
    Asim Z, Sorooshian S
    Sao Paulo Med J, 2017 08 21;136(1):96-97.
    PMID: 28832811 DOI: 10.1590/1516-3180.2017.0122210517
    Matched MeSH terms: Information Dissemination/ethics*
  10. Notes on the moray eels (Anguilliformes: Muraenidae) of Malaysia with two new records
    Loh KH, Muhammad Ali Syed Hussein, Chong VC, Sasekumar A
    Sains Malaysiana, 2015;44:41-47.
    Two new records of moray eels (Muraenidae), Gymnothorax margaritophorus Bleeker, 1864 and Strophidon sathete (Hamilton 1822), are reported for Malaysia. They are represented by two specimens each, all collected from Sabah waters. The present study also provides the current taxonomic and distributional information of the Malaysian moray eels. To date, there are 33 species belonging to six genera of the Muraenidae in Malaysian waters based on the published records.
    Matched MeSH terms: Information Dissemination
  11. An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications
    Lin CJ, Lin HY, Yu CY, Wu CF
    Sains Malaysiana, 2015;44:1721-1728.
    In this paper, an interactively recurrent functional neural fuzzy network (IRFNFN) with fuzzy differential evolution (FDE)
    learning method was proposed for solving the control and the prediction problems. The traditional differential evolution
    (DE) method easily gets trapped in a local optimum during the learning process, but the proposed fuzzy differential
    evolution algorithm can overcome this shortcoming. Through the information sharing of nodes in the interactive layer,
    the proposed IRFNFN can effectively reduce the number of required rule nodes and improve the overall performance of
    the network. Finally, the IRFNFN model and associated FDE learning algorithm were applied to the control system of the
    water bath temperature and the forecast of the sunspot number. The experimental results demonstrate the effectiveness
    of the proposed method.
    Matched MeSH terms: Information Dissemination
  12. Fulltext Report of the third Asian Prostate Cancer study meeting
    Lojanapiwat B, Lee JY, Gang Z, Kim CS, Fai NC, Hakim L, et al.
    Prostate Int, 2019 Jun;7(2):60-67.
    PMID: 31384607 DOI: 10.1016/j.prnil.2018.06.001
    The Asian Prostate Cancer (A-CaP) study is an Asia-wide initiative that was launched in December 2015 in Tokyo, Japan, with the objective of surveying information about patients who have received a histopathological diagnosis of prostate cancer (PCa) and are undergoing treatment and clarifying distribution of staging, the actual status of treatment choices, and treatment outcomes. The study aims to clarify the clinical situation for PCa in Asia and use the outcomes for the purposes of international comparison. Following the first meeting in Tokyo in December 2015, the second A-CaP meeting was held in Seoul, Korea, in September 2016. This, the third A-CaP meeting, was held on October 14, 2017, in Chiang Mai, Thailand, with the participation of members and collaborators from 12 countries and regions. In the meeting, participating countries and regions presented the current status of data collection, and the A-CaP office presented a preliminary analysis of the registered cases received from each country and region. Participants discussed ongoing challenges relating to data input and collection, institutional, and legislative issues that may present barriers to data sharing, and the outlook for further patient registrations through to the end of the registration period in December 2018. In addition to A-CaP-specific discussions, a series of special lectures were also delivered on the situation for health insurance in the United States, the correlation between insurance coverage and PCa outcomes, and the outlook for robotic surgery in the Asia-Pacific region. Members also confirmed the principles of authorship in collaborative studies, with a view to publishing original articles based on A-CaP data in the future.
    Matched MeSH terms: Information Dissemination
  13. Fulltext Quality of reporting of randomised controlled trials of herbal interventions in ASEAN Plus Six Countries: a systematic review
    Pratoomsoot C, Sruamsiri R, Dilokthornsakul P, Chaiyakunapruk N
    PLoS One, 2015;10(1):e108681.
    PMID: 25633206 DOI: 10.1371/journal.pone.0108681
    Many randomised controlled trials (RCTs) of herbal interventions have been conducted in the ASEAN Communities. Good quality reporting of RCTs is essential for assessing clinical significance. Given the importance ASEAN placed on herbal medicines, the reporting quality of RCTs of herbal interventions among the ASEAN Communities deserved a special attention.
    Matched MeSH terms: Information Dissemination*
  14. Fulltext Building a green Belt and Road: A systematic review and comparative assessment of the Chinese and English-language literature
    Teo HC, Campos-Arceiz A, Li BV, Wu M, Lechner AM
    PLoS One, 2020;15(9):e0239009.
    PMID: 32932516 DOI: 10.1371/journal.pone.0239009
    International attention on the environmental impacts of China's Belt and Road Initiative (BRI) is increasing, but little is known internationally about the large corpus of Chinese BRI environmental research. We present the first systematic review of the Chinese and English-language BRI environmental research, supported with text mining and sentiment analysis. We found that the research is dominated by Chinese authors writing about BRI routes within China in Chinese, even though concerns around BRI are largely about impacts and benefits within host countries, and the volume of publications in English is recently catching up. Different disciplines and methods are well-represented across languages, apart from specific types of Chinese social science papers. The sentiments of academic research are largely neutral and less polarised than media discourse. We recommend that scientists and practitioners should pay more attention to BRI environmental impacts in developing countries and proactively engage local voices.
    Matched MeSH terms: Information Dissemination/methods*
  15. Post-disaster victimization: how survivors of disasters can continue to suffer after the event is over
    Phua KL
    New Solut, 2008;18(2):221-31.
    PMID: 18511398 DOI: 10.2190/NS.18.2.k
    When public health researchers study the health effects of disasters (whether "naturally-occurring," disasters due to failure of technology, or disasters due to terrorism), some aspects of the post-disaster situation of victims are often overlooked. Social science research has shown that the vast majority of people tend to behave altruistically during and after a disaster. Nevertheless, cases of victimization of survivors do occur. They can include post-disaster victimization of survivors by other individuals (including fellow survivors, opportunistic outsiders, and even unethical aid workers and rogue members of the police, armed forces or international organizations such as the United Nations), groups (such as organized criminal gangs) and institutions (through neglect, incompetence, bureaucratic inefficiency or through institutionalized discriminatory practices). In this article, various kinds of post-disaster victimization that can occur are discussed.
    Matched MeSH terms: Information Dissemination/methods
  16. Big Brain Data Initiatives in Universiti Sains Malaysia: Data Stewardship to Data Repository and Data Sharing
    Hamzah N, Malim NHAH, Abdullah JM, Sumari P, Mokhtar AM, Rosli SNS, et al.
    Neuroinformatics, 2023 Jul;21(3):589-600.
    PMID: 37344699 DOI: 10.1007/s12021-023-09637-3
    The sharing of open-access neuroimaging data has increased significantly during the last few years. Sharing neuroimaging data is crucial to accelerating scientific advancement, particularly in the field of neuroscience. A number of big initiatives that will increase the amount of available neuroimaging data are currently in development. The Big Brain Data Initiative project was started by Universiti Sains Malaysia as the first neuroimaging data repository platform in Malaysia for the purpose of data sharing. In order to ensure that the neuroimaging data in this project is accessible, usable, and secure, as well as to offer users high-quality data that can be consistently accessed, we first came up with good data stewardship practices. Then, we developed MyneuroDB, an online repository database system for data sharing purposes. Here, we describe the Big Brain Data Initiative and MyneuroDB, a data repository that provides the ability to openly share neuroimaging data, currently including magnetic resonance imaging (MRI), electroencephalography (EEG), and magnetoencephalography (MEG), following the FAIR principles for data sharing.
    Matched MeSH terms: Information Dissemination
  17. Use of WhatsApp in assisting psychiatry learning
    Loo JL, Koh EB, Pang NT, Nor Hadi NM
    Med Educ, 2016 Nov;50(11):1165.
    PMID: 27762032 DOI: 10.1111/medu.13195
    Matched MeSH terms: Information Dissemination
  18. Fulltext Proceedings of the 3rd Expert Consultation and Planning Meeting on Infant and Young Child Nutrition--(Part 2)
    Amarra S, Chan P
    Malays J Nutr, 2013 Apr;19(1):139-42.
    PMID: 24800392
    The Infant and Early Childhood Nutrition Task Force, International Life Sciences Institute Southeast Asia (ILSI SEA) Region, organised the 1st and 2nd Expert Consultation and Planning Meeting on Infant and Early Childhood Nutrition in 2009 and 2011, respectively. The goal of the consultations was "to generate and promote relevant science-based information that will help improve nutritional status, growth and development of infants and young children in Southeast Asia."
    Matched MeSH terms: Information Dissemination/methods
  19. Fulltext Disabled people are left behind the information age: are the gap getting bigger?
    Nur Ajrun Khalid, Rohana Yusof
    Malaysian Journal of Social Sciences and Humanities, 2016;1(4):37-41.
    MyJurnal
    Rapid progress of Information Communication Technology (ICT) will accelerate the distribution of
    information from government to the people; however the monopoly of technology ICT services will
    lead to inequality of information distribution in between of normal people and disabled people.
    Embrace with the inequality of ICT distribution directly make the group of disabled people left behind
    at the information age, or the situation also known as digital divide. Hence, this article attempts to
    identify and examine the issues facing by disabled people in order to catch up the fast diffusion of ICT.
    Matched MeSH terms: Information Dissemination
  20. Fulltext Statement in support of the scientists, public health professionals, and medical professionals of China combatting COVID-19
    Calisher C, Carroll D, Colwell R, Corley RB, Daszak P, Drosten C, et al.
    Lancet, 2020 03 07;395(10226):e42-e43.
    PMID: 32087122 DOI: 10.1016/S0140-6736(20)30418-9
    Matched MeSH terms: Information Dissemination*
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