Application of random forest survival models to increase generalizability of decision trees: a case study in acute myocardial infarction

DOI10.1155/2015/576413zbMath1343.92027OpenAlexW2221789957WikidataQ36422884 ScholiaQ36422884MaRDI QIDQ305987

Ehsan Mosa Farkhani, Mohammad Reza Baneshi, Iman Yosefian

Publication date: 31 August 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/576413

zbMATH Keywords

decision trees\(C\)-indexintegrated Brier scoremyocardial infarction

Mathematics Subject Classification ID

General biostatistics (92B15) Medical applications (general) (92C50)

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