Prediction on cardiac arrest using machine learning algorithms

Registration ID: IJNRD_185441

Published ID: IJNRD2301323

DOI: Click Here to Get

B.Neha , S Sahithi , G praveena

Heart disease describes various conditions that affect the heart. One of the heart disease is cardiac arrest. Cardiac arrest is when the heart comes to a sudden and unexpected end. This is a medical emergency that, without immediate medical action, will cause sudden cardiac death within minutes. Nowadays, this disease is among one of the most common serious illest affecting human health. So this disease should be treated immediately. This project aims to study different machine learning algorithms on the dataset to predict the possibility of a cardiac arrest. We are using predictive techniques such as ANN, Logistic regression, Random forest, XGBoost and comparing their accuracy to know which suits best for our data set. In this project we are taking UCI dataset to perform the analysis.

Published Paper   E-Certificate

B.Neha, S Sahithi, & G praveena (January-2023). Prediction on cardiac arrest using machine learning algorithms. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), d188-d192. https://ijnrd.org/papers/IJNRD2301323.pdf

Volume 8 Issue 1, January-2023

Pages : d188-d192

Paper Reg. ID: IJNRD_185441

Published Paper Id: IJNRD2301323

Downloads: 000121980

Research Area: Information Technology 

Country: Rangareddy, Tealangana, india

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301323.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301323

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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