Predicting Waiting Times for Medical Tasks in a Pediatric Hospital Using Machine Learning: Comprehensive, Retrospective, Real-World Study.

Saved in:
Bibliographic Details
Title: Predicting Waiting Times for Medical Tasks in a Pediatric Hospital Using Machine Learning: Comprehensive, Retrospective, Real-World Study.
Authors: Guo LL; Capital Center for Children's Health, Capital Medical University, No.2 Yabao Road, ChaoYang District, Beijing, 100020, China, 86 18380382165., Tang R; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Wang JY; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Zheng S; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Zeng Y; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Hou J; Capital Center for Children's Health, Capital Medical University, No.2 Yabao Road, ChaoYang District, Beijing, 100020, China, 86 18380382165., Dong MC; Capital Center for Children's Health, Capital Medical University, No.2 Yabao Road, ChaoYang District, Beijing, 100020, China, 86 18380382165., Li J; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Cui Y; Capital Center for Children's Health, Capital Medical University, No.2 Yabao Road, ChaoYang District, Beijing, 100020, China, 86 18380382165.
Source: JMIR medical informatics [JMIR Med Inform] 2025 Sep 29; Vol. 13, pp. e77297. Date of Electronic Publication: 2025 Sep 29.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-9694 (Electronic) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2291-9694
DOI:10.2196/77297