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

Machine Learning (1471) Artificial Intelligence (1377) Clinical Information and Decision Making (1411) Electronic Health Records (1058) Decision Support for Health Professionals (1191)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17886, first published .
Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Authors of this article:

Guilan Kong1, 2 Author Orcid Image ;   Jingyi Wu2 Author Orcid Image ;   Hong Chu3 Author Orcid Image ;   Chao Yang3 Author Orcid Image ;   Yu Lin4 Author Orcid Image ;   Ke Lin1 Author Orcid Image ;   Ying Shi5 Author Orcid Image ;   Haibo Wang1, 6 Author Orcid Image ;   Luxia Zhang1, 2, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually