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Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models.

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Bibliographic Details
Title: Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models.
Authors: Thomassen D; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands. Electronic address: d.thomassen@lumc.nl., Hackmann T; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands., Goeman J; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands., Steyerberg E; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands., le Cessie S; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
Source: The Lancet. Digital health [Lancet Digit Health] 2025 Nov; Vol. 7 (11), pp. 100911. Date of Electronic Publication: 2025 Nov 29.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2589-7500
DOI:10.1016/j.landig.2025.100911