Detection of Cardiovascular Disease at Early Stages Using ML

Detection of Cardiovascular Disease at Early Stages Using ML

Registration ID: IJNRD_182352

Published ID: IJNRD2208022

DOI: http://doi.one/10.1729/Journal.31168

Aishwarya Milind Kamat , Dr. R. N. Awale

Machine learning, health care services, heart disease, supervised learning.

Foreseeing and location of coronary illness has continuously been a basic and testing task for medical care specialists. Medical clinics and different centers are offering costly treatments and activities to treat heart infections. Thus, anticipating coronary illness at the beginning phases will be helpful to individuals all over the planet so they will make fundamental moves previously getting serious. Coronary illness is a critical issue in later times; the fundamental justification behind this illness is the admission of liquor, tobacco, and absence of actual activity. Throughout the long term, machine learning shows viable outcomes in simply deciding and expectations from the wide arrangement of information created by the well- being care industry. A portion of the regulated AI methods utilized in this expectation of coronary illness are counterfeit brain organization (ANN), choice tree (DT), arbitrary woods (RF), support vector machine (SVM), innocent Bayes (NB) and k-nearest neighbor calculation. Besides, the exhibitions of these calculations are summed up.

Published Paper   E-Certificate

"Detection of Cardiovascular Disease at Early Stages Using ML ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 8, page no.185-192, August-2022, Available :https://ijnrd.org/papers/IJNRD2208022.pdf

Volume 7 Issue 8, August-2022

Pages : 185-192

Paper Reg. ID: IJNRD_182352

Published Paper Id: IJNRD2208022

Downloads: 000121164

Research Area: Engineering

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2208022.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2208022

DOI: http://doi.one/10.1729/Journal.31168

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Current Issue: Volume 10 | Issue 8

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