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

Digital Health Reviews (1289) Big Data (240) Secondary Use of Clinical Data for Research and Surveillance (366) Artificial Intelligence (1371) Data Science (270)

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 (36) Tweetations (55) Metrics

Journals

  1. Zrubka Z, Csabai I, Hermann Z, Golicki D, Prevolnik-Rupel V, Ogorevc M, Gulácsi L, Péntek M. Predicting Patient-Level 3-Level Version of EQ-5D Index Scores From a Large International Database Using Machine Learning and Regression Methods. Value in Health 2022;25(9):1590 View
  2. Ortíz-Barrios M, Coba-Blanco D, Alfaro-Saíz J, Stand-González D. Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(16):8814 View
  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
  4. Bezerra J, Carvalho P, Lopes R. Aprendizagem Baseada no Trabalho. Educitec - Revista de Estudos e Pesquisas sobre Ensino Tecnológico 2022;8(jan./dez.):e190822 View
  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
  8. Piovani D, Bonovas S. Real World—Big Data Analytics in Healthcare. International Journal of Environmental Research and Public Health 2022;19(18):11677 View
  9. Reading Turchioe M, Volodarskiy A, Pathak J, Wright D, Tcheng J, Slotwiner D. Systematic review of current natural language processing methods and applications in cardiology. Heart 2022;108(12):909 View
  10. Cachay E, Hasteh F, Mathews W. Using computer-assisted content analysis to advance anal dysplasia natural history research. AIDS 2022;36(3):409 View
  11. Kitsios F, Kapetaneas N. Digital Transformation in Healthcare 4.0: Critical Factors for Business Intelligence Systems. Information 2022;13(5):247 View
  12. Yuan J, Wang S, Pan C. Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study. Journal of Medical Internet Research 2022;24(4):e32776 View
  13. Cima L, Pagliuca F, Torresani E, Polonia A, Eloy C, Dhanasekeran V, Mannan R, Gamba Torrez S, Mirabassi N, Cassisa A, Palicelli A, Barbareschi M. Decline of case reports in pathology and their renewal in the digital age: an analysis of publication trends over four decades. Journal of Clinical Pathology 2023;76(2):76 View
  14. Steele R. Pediatric quality measures: The leap from process to outcomes. Current Problems in Pediatric and Adolescent Health Care 2021;51(8):101065 View
  15. de Paiva B, Pereira P, de Andrade C, Gomes V, Souza-Silva M, Martins K, Sales T, de Carvalho R, Pires M, Ramos L, Silva R, de Freitas Martins Vieira A, Nunes A, de Oliveira Jorge A, de Oliveira Maurílio A, Scotton A, da Silva C, Cimini C, Ponce D, Pereira E, Manenti E, Rodrigues F, Anschau F, Botoni F, Bartolazzi F, Grizende G, Noal H, Duani H, Gomes I, Costa J, di Sabatino Santos Guimarães J, Tupinambás J, Rugolo J, Batista J, de Alvarenga J, Chatkin J, Ruschel K, Zandoná L, Pinheiro L, Menezes L, de Oliveira L, Kopittke L, Assis L, Marques L, Raposo M, Floriani M, Bicalho M, Nogueira M, de Oliveira N, Ziegelmann P, Paraiso P, de Lima Martelli P, Senger R, Menezes R, Francisco S, Araújo S, Kurtz T, Fereguetti T, de Oliveira T, Ribeiro Y, Ramires Y, Lima M, Carneiro M, Bezerra A, Schwarzbold A, de Moura Costa A, Farace B, Silveira D, de Almeida Cenci E, Lucas F, Aranha F, Bastos G, Vietta G, Nascimento G, Vianna H, Guimarães H, de Morais J, Moreira L, de Oliveira L, de Deus Sousa L, de Souza Viana L, de Souza Cabral M, Ferreira M, de Godoy M, de Figueiredo M, Guimarães-Junior M, de Paula de Sordi M, da Cunha Severino Sampaio N, Assaf P, Lutkmeier R, Valacio R, Finger R, de Freitas R, Guimarães S, Oliveira T, Diniz T, Gonçalves M, Marcolino M. Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset. Scientific Reports 2023;13(1) View
  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
  27. Yeung A, Litvinova O, Bragazzi N, Khader Y, Rahman M, Said Z, Istepanian R, Koulaouzidis A, Aremu A, Flanagan J, Rabiee N, Islam S, Tewari D, Venkatachalam G, Orlando G, Niebauer J, Georgakilas A, Saeb M, Hrg D, Yuan Y, Imran M, Cheng H, Souto E, Devkota H, Leone M, Manjunatha J, Tzvetkov N, Matin M, Adamska O, Völkl-Kernstock S, Hammerle F, Matin F, Siddiquea B, Wang D, Stoyanov J, Horbańczuk J, Koszarska M, Parvanov E, Bartel I, Jóźwik A, Ksepka N, Zima-Kulisiewicz B, Schuller B, Pandey G, Bates D, Wong T, Glicksberg B, Banach M, Tomasik C, Kadry S, Wong S, Lordan R, Nawaz F, Singla R, MohanaSundaram A, Mondal H, Juhi A, Mondal S, Cenanovic M, Zielińska A, Tsagkaris C, De R, Chandragiri S, Damaševičius R, Nsengiyumva M, Stolarczyk A, Eminağa O, Cascella M, Willschke H, Atanasov A. Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors. Exploration of Digital Health Technologies 2024:86 View
  28. Al Zaabi M, Alhashmi S. Big data security and privacy in healthcare: A systematic review and future research directions. Information Development 2024 View
  29. Atmakuru A, Shahini A, Chakraborty S, Seoni S, Salvi M, Hafeez-Baig A, Rashid S, Tan R, Barua P, Molinari F, Acharya U. Artificial intelligence-based suicide prevention and prediction: A systematic review (2019–2023). Information Fusion 2025;114:102673 View

Books/Policy Documents

  1. Parikh S, Patel R, Khunt D, Chavda V, Vora L. Bioinformatics Tools for Pharmaceutical Drug Product Development. View
  2. Rayan R, Tsagkaris C, Zafar I, Moysidis D, Papazoglou A. Big Data Analytics for Healthcare. View
  3. Gomes J, Iivari M, Koivumäki T, Immonen M, Jansson M, Pikkarainen M, Rasmus K, Xu Y. Collaborative Networks in Digitalization and Society 5.0. View
  4. Wordsworth S, Doble B, Payne K, Buchanan J, Marshall D, McCabe C, Philips K, Fahr P, Regier D. Economic Evaluation in Genomic and Precision Medicine. View
  5. Najjar R. A Comprehensive Overview of Telemedicine [Working Title]. View