Influential Causes that Affect Largely for the Survival of a Patient with Heart-failure: A Machine Learning Perspective

Iffat Ara Talin,Mahmudul Hasan Abid,Md. Abdul Awal,Abdullah-Al Nahid

2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2)（2021）

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摘要

Heart failure is a chronic, irreversible condition. It causes 32% of entire mortality globally. The purpose of this study is to figure out which of the characteristics of patients with heart failure impacts their survival most so that improving those traits can lead to their quality health. Machine learning can be more proficient in diagnosing it precisely and minutely. XGBoost classified the data...

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关键词

Heart failure,Genetic algorithm,XGBoost,Feature selection

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