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

Clinical Information and Decision Making (1430) Big Data (244) Methods and Instruments in Medical Informatics (135) Development and Evaluation of Research Methods, Instruments and Tools (508) Tools, Programs and Algorithms (273) Methodological Innovations (26) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Machine Learning (1493) Recruitment of Research Participants (304)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60231, first published .
Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Authors of this article:

Scott Silvey1 Author Orcid Image ;   Jinze Liu1 Author Orcid Image
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Scott Silvey   1 , MS ;   Jinze Liu   1 , PhD

1 Department of Biostatistics, School of Public Health, Virginia Commonwealth University, Richmond, VA, United States

Corresponding Author:

  • Scott Silvey, MS
  • Department of Biostatistics
  • School of Public Health
  • Virginia Commonwealth University
  • 830 East Main Street
  • Richmond, VA, 23219
  • United States
  • Phone: 1 4348256974
  • Email: silveys@vcu.edu