The Comprehensive Machine Learning Analytics for Heart Failure

Background: Early detection of heart failure is the basis for better medical treatment and prognosis. Over the last decades, both prevalence and incidence rates of heart failure have increased worldwide, resulting in a significant global public health issue. However, an early diagnosis is not an eas...

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Veröffentlicht in:	International journal of environmental research and public health 2021-05, Vol.18 (9), p.4943
Hauptverfasser:	Guo, Chao-Yu, Wu, Min-Yang, Cheng, Hao-Min
Format:	Artikel
Sprache:	eng
Schlagworte:	African Americans Classification Datasets Decision trees Diabetes mellitus Heart diseases Heart failure Learning algorithms Machine learning Medical treatment Minority & ethnic groups Missing data Population studies Prediction models Public health Risk analysis Risk factors Support vector machines Variables
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