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Comparative Study Of Classification Algorithms

Comparative Study Of Classification Algorithms Video

Comparative Study of Ranking Algorithms Comparative Study Of Classification Algorithms

Nowadays, people are getting caught in their day-to-day lives doing their work and other things and ignoring their health. Due to this hectic life and ignorance towards their health, the number of people getting sick increases every day. Moreover, most of the people are suffering from a disease like heart disease. So, the prediction of happening heart disease or not becomes important for the medical field.

Comparative Study Of Classification Algorithms

However, data received by the medical sector or hospitals is so huge that sometimes it becomes difficult to analyze. Using machine learning techniques for this prediction and handling of data can become very efficient for medical people. Hence in this study, we have discussed the heart disease and its risk factors and explained machine learning techniques.

Comparative Study Of Classification Algorithms

Using that machine learning techniques, we have predicted heart disease and provided a comparative analysis of the algorithms for machine learning used for the experiment of the prediction. The goal or objective of this research is completely related to the prediction of heart disease via a machine learning technique and analysis of them. This is a preview of subscription content, log source to check access. Rent this article via DeepDyve.

Classification Theorem : Classification Algorithm

Heart disease prediction using machine learning techniques: a survey. Switzerland: World Health Organization. Gandhi M, Singh SN. Predictions in heart disease using techniques of data mining. Palaniappan S, Awang R.

Comparative Study Of Classification Algorithms

Thomas J, Princy RT. Human heart disease prediction system using data mining techniques.

Associated Data

Indhumathi S, Vijaybaskar G. Pahwa K, Kumar R. Rajathi S, Radhamani G.

Comparative Study Of Classification Algorithms

Andreeva, Plamena. Global journal of computer science and technology.]

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