Analysis and Evaluation of Heart Disease Prediction Techniques: A Comprehensive Review

Author(s)	Shafquat Perween, Dr. Md. Masroor Ahmed
Country	India
Abstract	An essential technique for deriving insightful information from unprocessed data is data mining. One popular data mining technique is prediction analysis, which makes use of current data to predict future events. The use of classification algorithms in the prediction of heart disease is the main topic of this research. A critical evaluation and comparison of the methods and results of several techniques put forth by various writers are conducted. The conversation explores the subtleties of predicting heart disease, emphasizing descriptive features and assessing predictive power. The goal of this work is to provide a thorough examination of current methods, highlighting their advantages and disadvantages for precise and trustworthy heart disease prediction.
Keywords	PREDICTION UNSUPERVISED LEARNING CLASSIFICATION
Field	Computer > Data / Information
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-30
Cite This	Analysis and Evaluation of Heart Disease Prediction Techniques: A Comprehensive Review - Shafquat Perween, Dr. Md. Masroor Ahmed - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23776
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.23776
Short DOI	https://doi.org/gt3nc5

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