INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Comparitive Study using different classifiers in Machine Learning in Ishaemic Heart Disease
Authors Name:
Nikhitha V
, Pournami Raju , Dr. Neetha Thomas
Unique Id:
IJSDR2303260
Published In:
Volume 8 Issue 3, March-2023
Abstract:
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.
"Comparitive Study using different classifiers in Machine Learning in Ishaemic Heart Disease", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1483 - 1487, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303260.pdf
Downloads:
000337354
Publication Details:
Published Paper ID: IJSDR2303260
Registration ID:204988
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 1483 - 1487
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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