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

Artificial Intelligence (1407) Machine Learning (1488) Diabetes (191) Diabetes Technology Around the World (22) Secondary Use of Clinical Data for Research and Surveillance (373) Artificial Intelligence in Diabetes Care and Prevention (29) Neurology and Neurosciences (189)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56922, first published .
Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study

Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study

Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study

Authors of this article:

Hyunji Sang1, 2 Author Orcid Image ;   Hojae Lee2, 3 Author Orcid Image ;   Jaeyu Park2, 3 Author Orcid Image ;   Sunyoung Kim4 Author Orcid Image ;   Ho Geol Woo5 Author Orcid Image ;   Ai Koyanagi6 Author Orcid Image ;   Lee Smith7 Author Orcid Image ;   Sihoon Lee8 Author Orcid Image ;   You-Cheol Hwang9 Author Orcid Image ;   Tae Sun Park10 Author Orcid Image ;   Hyunjung Lim11 Author Orcid Image ;   Dong Keon Yon2, 3, 12, 13 Author Orcid Image ;   Sang Youl Rhee1, 2, 3, 12 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Sang H, Park J, Kim S, Lee M, Lee H, Lee S, Yon D, Rhee S. Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea. Scientific Reports 2024;14(1) View