Comparitive Study using different classifiers in Machine Learning in Ishaemic Heart Disease

Nikhitha V , Pournami Raju , Dr. Neetha Thomas

Keywords: Machine Learning; naïve Bayesian classifier; Neural Networks; Symbolic Learning

ABSTRACT: The paper gives a historical, current- state-of-the-art, and outlook on some potential future trends in this area of applied artificial intelligence sector of the development of intelligent data analysis in medicine. The study instead highlights several some areas and directions that, in Our opinion, appear to the crucial for using machine learning in medical diagnostics but does not aim to present and exhaustive review. We place particular emphasis on the naive Bayesian classifier, neural networks, and decision trees in historical review. We compare a few cutting-edge systems from each discipline of machine learning as they are used to perform various diagnostic tasks in medicine. The first discusses a freshly created technique that appears promise for intelligent data analysis in medicine for dealing with the reliability of classifier decisions. The second discusses a method for applying machine learning to confirm certain mysterious phenomena from alternative medicine, which is not (now) acknowledged by the orthodox medical establishment but may one day be crucial in general medical diagnosis and treatment.

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"Comparitive Study using different classifiers in Machine Learning in Ishaemic Heart Disease", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1483 - 1487, March-2023, Available :https://ijsdr.org/papers/IJSDR2303260.pdf

Volume 8 Issue 3, March-2023

Pages : 1483 - 1487

Paper Reg. ID: IJSDR_204988

Published Paper Id: IJSDR2303260

Downloads: 000347450

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303260

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303260

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition