Heart Disease Prediction using Machine Learning Techniques

• Published in: SN computer science Vol. 1; no. 6; p. 345
• Main Authors: Shah, Devansh, Patel, Samir, Bharti, Santosh Kumar
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.11.2020; Springer Nature B.V
• Subjects: Accuracy; Advances in Computational Approaches for Artificial Intelligence; Algorithms; Angina pectoris; Artificial intelligence; Blood pressure; Cardiovascular disease; Cholesterol; Classification; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data mining; Data Structures and Information Theory; Datasets; Decision making; Decision trees; Disease prevention; Health care; Heart; Heart diseases; Image Processing, IoT and Cloud Applications; Information Systems and Communication Service; Machine learning; Medical diagnosis; Medical personnel; Original Research; Pattern Recognition and Graphics; Professionals; Software Engineering/Programming and Operating Systems; Supervised learning; Vision; K-NN; Naïve Bayes; Machine learning; Heart disease prediction; Random forest; Data mining; Decision tree

Heart disease, alternatively known as cardiovascular disease, encases various conditions that impact the heart and is the primary basis of death worldwide over the span of the past few decades. It associates many risk factors in heart disease and a need of the time to get accurate, reliable, and sen...