A feature-driven decision support system for heart failure prediction based on \(\chi^2\) statistical model and Gaussian naive Bayes

DOI10.1155/2019/6314328zbMath1431.92049OpenAlexW2990252557WikidataQ92308723 ScholiaQ92308723MaRDI QIDQ2299917

Iqbal Qasim, Redhwan Nour, Shafqat Ullah Khan, Adeeb Noor, Imrana Yakubu, Noorbakhsh Amiri Golilarz, Liaqat Ali

Publication date: 24 February 2020

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

Full work available at URL: https://doi.org/10.1155/2019/6314328

zbMATH Keywords

\(\chi^2\) statistical modelGaussian naive Bayes classifierheart failure predictionmedical decision support systems

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)

Uses Software

• Scikit

Cites Work

• Poisson mixture regression models for heart disease prediction
• Unnamed Item

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