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

• Published in: IEEE access Vol. 8; pp. 107562 - 107582
• Main Authors: Li, Jian Ping, Haq, Amin Ul, Din, Salah Ud, Khan, Jalaluddin, Khan, Asif, Saboor, Abdus
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...