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

Digital Health Reviews (1318) Registered Report (577) Digital Science, Open Science (79) Data Science (276)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41446, first published .
Data Quality in Health Research: Integrative Literature Review

Data Quality in Health Research: Integrative Literature Review

Data Quality in Health Research: Integrative Literature Review

Authors of this article:

Filipe Andrade Bernardi1 Author Orcid Image ;   Domingos Alves1 Author Orcid Image ;   Nathalia Crepaldi1 Author Orcid Image ;   Diego Bettiol Yamada1 Author Orcid Image ;   Vinícius Costa Lima1 Author Orcid Image ;   Rui Rijo1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (14) Tweetations (6) Metrics

Journals

  1. Marco-Ruiz L, Hernández M, Ngo P, Makhlysheva A, Svenning T, Dyb K, Chomutare T, Llatas C, Muñoz-Gama J, Tayefi M. A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. International Journal of Medical Informatics 2024;184:105377 View
  2. Zhang R, Ge Y, Xia L, Cheng Y. Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace. Journal of Multidisciplinary Healthcare 2024;Volume 17:1561 View
  3. Bignami E, Panizzi M, Allai S, Bellini V. PROBAST Assessment of Machine Learning: Comment. Anesthesiology 2024;141(3):615 View
  4. Crouzet A, Lopez N, Riss Yaw B, Lepelletier Y, Demange L. The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?. Molecules 2024;29(12):2716 View
  5. de Andrade Mioto A, Andrade Martins P, Modina G, Alves D, Lima V, Neiva M, Bernardi F. Quality analysis and study of tuberculosis diagnostic data. Procedia Computer Science 2024;239:939 View
  6. Theodorakis N, Feretzakis G, Tzelves L, Paxinou E, Hitas C, Vamvakou G, Verykios V, Nikolaou M. Integrating Machine Learning with Multi-Omics Technologies in Geroscience: Towards Personalized Medicine. Journal of Personalized Medicine 2024;14(9):931 View
  7. Shin J, Kim J. Customized Quality Assessment of Healthcare Data. Annals of Laboratory Medicine 2024;44(6):472 View
  8. Brown Q, Chabilall J, Cengiz N, Moodley K, Armengol de la Hoz M. Trust as moral currency: Perspectives of health researchers in sub-Saharan Africa on strategies to promote equitable data sharing. PLOS Digital Health 2024;3(9):e0000551 View
  9. Uhl L, Augusto V, Dalmas B, Alexandre Y, Bercelli P, Jardinaud F, Aloui S. Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study. JMIR Medical Informatics 2024;12:e58978 View
  10. Sood I, Sabherwal S, Mathur U, Jain E, Bhadauria M, Agrawal D, Khurana A, Mittal V, Mahindrakar A, Govindahari V, Kulkarni S, Nischal K. Harnessing Generalizable Real-World Ophthalmic Big Data: Descriptive Analysis of the Bodhya Eye Consortium Model for Collaborative Research. Online Journal of Public Health Informatics 2024;16:e53370 View
  11. Bukke S, Komarla Kumarachari R, Komarla Rajasekhar E, Dudekula J, Kamati M. Computational intelligence techniques for achieving sustainable development goals in female cancer care. Discover Sustainability 2024;5(1) View
  12. Bhatia N. Harnessing real-world evidence in pharmacoeconomics: A comprehensive review. Open Health 2024;5(1) View
  13. Wang B, Shi X, Han X, Xiao G. The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems. Frontiers in Medicine 2024;11 View

Books/Policy Documents

  1. Al-Hgaish A, Atan R, Yaakob R, Osman M. Advances in Information Communication Technology and Computing. View