Enhancing risk prediction base on health administrative data using high-dimensional prediction model.

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Bibliographic Details
Title: Enhancing risk prediction base on health administrative data using high-dimensional prediction model.
Authors: Hossain MB; School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, British Columbia, Canada. Electronic address: belal.hossain@ubc.ca., Sadatsafavi M; Respiratory Evaluation Sciences Program, Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada., Wong H; School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, British Columbia, Canada., Cook VJ; British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada., Johnston JC; British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada., Karim ME; School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, British Columbia, Canada.
Source: Journal of clinical epidemiology [J Clin Epidemiol] 2025 Aug; Vol. 184, pp. 111857. Date of Electronic Publication: 2025 May 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 8801383 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5921 (Electronic) Linking ISSN: 08954356 NLM ISO Abbreviation: J Clin Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-5921
DOI:10.1016/j.jclinepi.2025.111857