A Review on Machine Learning-Based Algorithms for Heart Disease Diagnosis and Prediction

Autor: null Aatiq Ali, null Dr. L C Manikandan
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :606-611
ISSN: 2456-3307
Popis: This work concentrates on different machine learning techniques that can be applied for the early diagnosis of heart diseases. Different Machine Learning Algorithms like KNN (K-Nearest Neighbour), Decision tree, Logistic Regression, Support Vector Machine, Random Forest and Naïve Bayes are used for prediction and detecting heart disease. The main purpose of this survey is to pay our attention towards machine learning techniques for diagnosing heart diseases in an efficient and effective manner.
Databáze: OpenAIRE