Can we develop real-world prognostic models using observational healthcare data? Large-scale experiment to investigate model sensitivity to database and phenotypes.

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Bibliographic Details
Title: Can we develop real-world prognostic models using observational healthcare data? Large-scale experiment to investigate model sensitivity to database and phenotypes.
Authors: Reps JM; Johnson & Johnson, Raritan, NJ, USA. jreps@its.jnj.com.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands. jreps@its.jnj.com., Rijnbeek PR; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands., Ryan PB; Johnson & Johnson, Raritan, NJ, USA.
Source: Diagnostic and prognostic research [Diagn Progn Res] 2025 Apr 17; Vol. 9 (1), pp. 10. Date of Electronic Publication: 2025 Apr 17.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101718985 Publication Model: Electronic Cited Medium: Internet ISSN: 2397-7523 (Electronic) Linking ISSN: 23977523 NLM ISO Abbreviation: Diagn Progn Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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