Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

Heart disease is one of the complex diseases and globally many people suffered from this disease. On time and efficient identification of heart disease plays a key role in healthcare, particularly in the field of cardiology. In this article, we proposed an efficient and accurate system to diagnosis...

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Veröffentlicht in:	IEEE access Jg. 8; S. 107562 - 107582
Hauptverfasser:	Li, Jian Ping, Haq, Amin Ul, Din, Salah Ud, Khan, Jalaluddin, Khan, Asif, Saboor, Abdus
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Cardiology Cardiovascular disease Classification Classifiers Decision trees Diagnosis disease diagnosis Diseases Feature extraction Feature selection features selection Health care Heart Heart disease classification Heart diseases Identification methods intelligent system Machine learning Machine learning algorithms medical data analytics Prediction algorithms Redundancy Support vector machines
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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