Development and Validation of Lung Cancer Risk Prediction Models in the Singapore Chinese Population.

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Bibliographic Details
Title: Development and Validation of Lung Cancer Risk Prediction Models in the Singapore Chinese Population.
Authors: Juang YR; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore., Chen W; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore., Ng AJH; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore., Sim X; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore., Lim DW; Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore; Duke-NUS Medical School, National University of Singapore, Singapore, Singapore., Yuan JM; Hillman Cancer Centre, University of Pittsburgh Medical Center, Pittsburgh, PA; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA., Seow A; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore., Seow WJ; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore. Electronic address: ephswj@nus.edu.sg.
Source: Clinical lung cancer [Clin Lung Cancer] 2026 May 02. Date of Electronic Publication: 2026 May 02.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100893225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1938-0690 (Electronic) Linking ISSN: 15257304 NLM ISO Abbreviation: Clin Lung Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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