Open Access30-days all-cause prediction model for readmissions for heart failure patients a comparative study of machine learning approaches
Author(s) -
Amal Bukhari
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d20327421
Subject(s) - machine learning , artificial intelligence , feature selection , decision tree , random forest , logistic regression , support vector machine , naive bayes classifier , computer science , health care , feature engineering , receiver operating characteristic , predictive modelling , sensitivity (control systems) , feature (linguistics) , engineering , deep learning , electronic engineering , economics , economic growth , linguistics , philosophy
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