A SYSTEMATIC SURVEY - AN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING BASED HEART DISEASE DETECTION
Shridevi K. Jamage1, Dr. Ramesh Y. Mali2, Dr. Virendra V. Shete3
1 Assistant Professor, Department of E&TC, Pune Institute of Computer Technology, Pune (MS), India
2, 3 Professor, Department of E&TC , MIT Art, Design, Technology University, Pune (MS), India
shridevikjamage@gmail.com1, ramesh.mali@mituniversity.edu.in2, virendra.shete@mituniversity.edu.in 3
Abstract – All sections of the body benefit from improved blood circulation and purification. Heart Disease’s are one of leading cause of death worldwide. The some recorded symptoms, including chest pain, difficulty breathing, a rapid heartbeat,. This data is regularly examined. Healthcare regularly assesses clinical datasets through expert learning and action. The healthcare department uses a computer-supported prediction method in the clinical field. The employment of AI, ML, and data mining techniques provide creativity and a plan to transform vast amounts of information into meaningful data.This review begins with an introduction to the heart condition and its current treatments. The most pertinent Machine Learning, AI, and Data Mining-based methodologies for these diseases predictions are also thoroughly analysed and briefly elaborated.
Keywords- Heart Diseases; Prediction; Machine Learning; Classification; Artificial Intelligence; Data Mining;