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

Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Machine Learning (1465) Intensive Care Unit (ICU) (112) Big Data (240) Clinical Information and Decision Making (30)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51354, first published .
Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study

Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study

Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study

Authors of this article:

Mingxia Li1, 2 Author Orcid Image ;   Shuzhe Han3 Author Orcid Image ;   Fang Liang4 Author Orcid Image ;   Chenghuan Hu1 Author Orcid Image ;   Buyao Zhang1 Author Orcid Image ;   Qinlan Hou1 Author Orcid Image ;   Shuangping Zhao1, 5, 6 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

There are no citations yet available for this article according to Crossref .