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Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?

, , , , and . Int. J. Medical Informatics, (2022)

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Finding a short and accurate decision rule in disjunctive normal form by exhaustive search., and . Mach. Learn., 80 (1): 33-62 (2010)How little data do we need for patient-level prediction?, , , , and . CoRR, (2020)Use of unstructured text in prognostic clinical prediction models: a systematic review., , , , , , , , , and 3 other author(s). J. Am. Medical Informatics Assoc., 29 (7): 1292-1302 (2022)Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?, , , , , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 129-130. IOS Press, (2023)A Methodology to Perform Semi-automatic Distributed EHR Database Queries., , , , and . HEALTHINF, page 127-134. SciTePress, (2018)The added value of text from Dutch general practitioner notes in predictive modeling., , , , and . J. Am. Medical Informatics Assoc., 30 (12): 1973-1984 (November 2023)TreatmentPatterns: An R package to facilitate the standardized development and analysis of treatment patterns across disease domains., , , and . Comput. Methods Programs Biomed., (2022)An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design., , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 43 (2021)Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data., , , , and . J. Big Data, 11 (1): 7 (December 2024)Challenges of Estimating Global Feature Importance in Real-World Health Care Data., , , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 1057-1061. IOS Press, (2023)