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

Machine Learning (2032) Artificial Intelligence (2060) Clinical Information and Decision Making (1871) Decision Support for Health Professionals (1510) Electronic Health Records (1295)

Published on in Vol 8, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15510, first published .
Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study

Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study

Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study

Authors of this article:

Xing Song1 Author Orcid Image ;   Lemuel R Waitman1 Author Orcid Image ;   Alan SL Yu2 Author Orcid Image ;   David C Robbins3 Author Orcid Image ;   Yong Hu4 Author Orcid Image ;   Mei Liu1 Author Orcid Image
Article Authors Cited by (54) Tweetations (1) Metrics

Xing Song   1 , PhD ;   Lemuel R Waitman   1 , PhD ;   Alan SL Yu   2 , MD ;   David C Robbins   3 , MD ;   Yong Hu   4 * , PhD ;   Mei Liu   1 * , PhD

1 University of Kansas Medical Center, Department of Internal Medicine, Division of Medical Informatics, Kansas City, KS, United States

2 University of Kansas Medical Center, Division of Nephrology and Hypertension and the Kidney Institute, Kansas City, KS, United States

3 University of Kansas Medical Center, Diabetes Institute, Kansas City, KS, United States

4 Jinan University, Big Data Decision Institute, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Mei Liu, PhD
  • University of Kansas Medical Center
  • Department of Internal Medicine, Division of Medical Informatics
  • 3901 Rainbow Boulevard
  • Kansas City, KS 66160
  • United States
  • Phone: 1 9139456446
  • Fax: 1 9135884880
  • Email: meiliu@kumc.edu