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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75655, first published .
Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data

Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data

Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data

Chien-wei Chuang   1, 2 * ;   Chung-Kuan Wu   3, 4, 5, 6 * , Prof Dr ;   Chao-Hsin Wu   1, 2 ;   Ben-Chang Shia   1, 2 , Prof Dr ;   Mingchih Chen   1, 2 , Prof Dr

1 Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City, Taiwan

2 Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City, Taiwan

3 Division of Nephrology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan

4 Dialysis Access Management Center, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan

5 School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan

6 Division of Digital Informatics Management, Department of Digital Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Mingchih Chen, Prof Dr
  • Graduate Institute of Business Administration
  • Fu Jen Catholic University
  • 510 Zhongzheng Rd, Xinzhuang District
  • New Taipei City 242062
  • Taiwan
  • Phone: 886 2905-3895
  • Email: 081438@mail.fju.edu.tw