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

Digital Health Reviews (1186) Registered Report (518) Digital Science, Open Science (70) Data Science (225)

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 (4) Tweetations (6) Metrics

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  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 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