Heart Attack Prediction Using Data Science And Machine Learning

Registration ID: IJNRD_209363

Published ID: IJNRD2401192

DOI: Click Here to Get

Nikunj Aggarwal , Raghav Gaur , Yug Varshney , Divyansh Rastogi , Mayank Mahajan

Heart attack, Decision Tree,Machine Learning ,Random Forest

This study has been undertaken to study Cardiovascular conditions, particularly heart attacks, remain a leading cause of global morbidity and mortality. Beforehand vaticination of individualities at threat can significantly ameliorate preventative interventions and patient issues. This exploration paper presents a comprehensive study on the integration of data wisdom and machine literacy ways for heart attack vaticination. The study employs a different dataset encompassing demographic information, life factors, and clinical pointers, collected from a large cohort of cases. Data preprocessing ways are applied to address missing values, and outliers, and ensure the quality of the dataset. point engineering is conducted to prize applicable information, and a relative analysis of colorful point selection styles is performed to identify the most influential predictors. Several machines learning algorithms, including but not limited to logistic retrogression, support vector machines, arbitrary timbers, and deep neural networks, are employed to develop prophetic models. The models are trained and validated using a robust cross-validation strategy to insure generalizability. Performance criteria similar as delicacy, perceptivity

Published Paper   E-Certificate

Nikunj Aggarwal, Raghav Gaur, Yug Varshney, Divyansh Rastogi, & Mayank Mahajan (January-2024). Heart Attack Prediction Using Data Science And Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), b811-b815. https://ijnrd.org/papers/IJNRD2401192.pdf

Volume 9 Issue 1, January-2024

Pages : b811-b815

Paper Reg. ID: IJNRD_209363

Published Paper Id: IJNRD2401192

Downloads: 000121979

Research Area: Computer Science & Technology 

Country: Mohali, Punjab, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2401192.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401192

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

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

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