Details

Autor(en) / Beteiligte

• Dube, Harshali
• Madge, Shweta
• Jagtap, Prajakta
• Potdar, Pooja
• Bhandare, Nilesh

Titel

Review on Heart Disease Classification

Ist Teil von

• 2020 5th International Conference on Communication and Electronics Systems (ICCES), 2020, p.1169-1173

Ort / Verlag

IEEE

Erscheinungsjahr

2020

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Heart disease is the foremost cause of death. According to WHO, deaths due to heart disease account for 30% of the global deaths. The main challenge that medical practitioners face is the disease not being identified at an early stage as the traditional approaches are quite time-consuming. Machine learning algorithms can help to deal with the emerging challenges in heart disease classification. The proposed work presents a short review about heart disease classification problem, many classification techniques along with future research directions.