This paper is in the following e-collection/theme issue:

Digital Health Reviews (1174) Big Data (215) Secondary Use of Clinical Data for Research and Surveillance (317) Artificial Intelligence (1186) Data Science (223)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27275, first published .
Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies

Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies

Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies

Authors of this article:

Israel Júnior Borges do Nascimento1, 2 Author Orcid Image ;   Milena Soriano Marcolino3, 4 Author Orcid Image ;   Hebatullah Mohamed Abdulazeem5 Author Orcid Image ;   Ishanka Weerasekara6, 7 Author Orcid Image ;   Natasha Azzopardi-Muscat8 Author Orcid Image ;   Marcos André Gonçalves9 Author Orcid Image ;   David Novillo-Ortiz8 Author Orcid Image
Article Authors Cited by (34) Tweetations (55) Metrics

Journals

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  3. Yang L, Zheng S, Xu X, Sun Y, Wang X, Li J. Medical Data Mining Course Development in Postgraduate Medical Education: Web-Based Survey and Case Study. JMIR Medical Education 2021;7(4):e24027 View
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  5. Tornero-Costa R, Martinez-Millana A, Azzopardi-Muscat N, Lazeri L, Traver V, Novillo-Ortiz D. Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review. JMIR Mental Health 2023;10:e42045 View
  6. Zhang X, Gao X, Wu D, Xu Z, Wang H. The Role of Big Data in Aging and Older People’s Health Research: A Systematic Review and Ecological Framework. Sustainability 2021;13(21):11587 View
  7. Martinez-Millana A, Saez-Saez A, Tornero-Costa R, Azzopardi-Muscat N, Traver V, Novillo-Ortiz D. Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews. International Journal of Medical Informatics 2022;166:104855 View
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  16. Ma S, Yu J, Qin X, Liu J. Current status and challenges in establishing reference intervals based on real-world data. Critical Reviews in Clinical Laboratory Sciences 2023;60(6):427 View
  17. Abdulazeem H, Whitelaw S, Schauberger G, Klug S, Vathy-Fogarassy Á. A systematic review of clinical health conditions predicted by machine learning diagnostic and prognostic models trained or validated using real-world primary health care data. PLOS ONE 2023;18(9):e0274276 View
  18. Segall R, Takashashi S. Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes. International Journal of Big Data and Analytics in Healthcare 2023;8(1):1 View
  19. Pang T, Lee T, Murshed M. Towards a New Paradigm for Digital Health Training and Education in Australia: Exploring the Implication of the Fifth Industrial Revolution. Applied Sciences 2023;13(11):6854 View
  20. Turikpenova Z, Abitova G. Challenges and prospects in big data analytics: a comprehensive review of developments, hurdles, and future research directions. Bulletin of Shakarim University. Technical Sciences 2023;(3(11)):60 View
  21. Orlu G, Abdullah R, Zaremohzzabieh Z, Jusoh Y, Asadi S, Qasem Y, Nor R, Mohd Nasir W. A Systematic Review of Literature on Sustaining Decision-Making in Healthcare Organizations Amid Imperfect Information in the Big Data Era. Sustainability 2023;15(21):15476 View
  22. Rankovic N, Rankovic D, Lukic I, Savic N, Jovanovic V. Unveiling the Comorbidities of Chronic Diseases in Serbia Using ML Algorithms and Kohonen Self-Organizing Maps for Personalized Healthcare Frameworks. Journal of Personalized Medicine 2023;13(7):1032 View
  23. Dharmawan P, Maharani I, Tho C. Big Data Capabilities for Hospital: A Systematic Literature Review. Procedia Computer Science 2023;227:272 View
  24. Arafa A, Sheerah H, Alsalamah S. Emerging Digital Technologies in Healthcare with a Spotlight on Cybersecurity: A Narrative Review. Information 2023;14(12):640 View
  25. Hanrahan J, Carter A, Khan D, Funnell J, Williams S, Dorward N, Baldeweg S, Marcus H. Process analysis of the patient pathway for automated data collection: an exemplar using pituitary surgery. Frontiers in Endocrinology 2024;14 View
  26. Bao H, Liu H, Wang L. Using Healthcare Big Data Analytics to Improve Women’s Health: Benefits, Challenges, and Perspectives. China CDC Weekly 2024;6(10):173 View
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Books/Policy Documents

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