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

Public Health for Asian/Pacific Islands (8) Public (e)Health, Digital Epidemiology and Public Health Informatics (865) Longitudinal and Cohort Studies in Public Health (355) Decision Support for Health Professionals (1347) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (59) Nephrology/Renal Disorders (83)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48378, first published .
A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study

A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study

A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study

Authors of this article:

Pei Liu1 Author Orcid Image ;   Yijun Liu2 Author Orcid Image ;   Hao Liu3 Author Orcid Image ;   Linping Xiong2 Author Orcid Image ;   Changlin Mei4 Author Orcid Image ;   Lei Yuan2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Conference Proceedings

  1. Bhuria R. 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). Advanced Machine Learning Techniques for Chronic Kidney Disease Prediction and Management View
  2. Dipto S, Bhoyan F, Ratul S, Islam M, Bin Saad S, Chakraborty S. 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI). An Improved Interpretable Transformer Based Approach for Identifying Kidney Abnormalities View