Prediction of cardiac arrest recurrence using ensemble classifiers

DOI10.1007/s12046-017-0683-zzbMath1379.92024OpenAlexW2738218030WikidataQ126543883 ScholiaQ126543883MaRDI QIDQ680903

Nachiket Tapas, Venkatanaresh Kuppili, Damodar Reddy, Tushar Lone

Publication date: 29 January 2018

Published in: Sādhanā (Search for Journal in Brave)

Full work available at URL: https://www.ias.ac.in/describe/article/sadh/042/07/1135-1141

zbMATH Keywords

machine learningensemble classifierheart rate variabilitysudden cardiac arrest

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Cites Work

• Nonparametric Estimation from Incomplete Observations
• Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large

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