ENHANCING HEART DISEASE PREDICTION SYSTEM USING IOT AND ML

ENHANCING HEART DISEASE PREDICTION SYSTEM USING IOT AND ML

Registration ID: IJNRD_207837

Published ID: IJNRD2310374

DOI: Click Here to Get

Shroin Mandal , Azhagiri M , Disha Sachdeva , Amisha Singh

Iot, Machine Learning, KNN, Random forest, Decision tree, Model Prediction

Heart disease is still a major global health concern, but its effects can be significantly diminished through early detection and prevention. Using a combination of established risk variables and cutting-edge machine learning methods, a machine learning ensemble model is used to predict accuracy. This ensemble model combines neural networks, support vector machines, and decision trees to accurately represent intricate nonlinear interactions between the variables. Validation of a sizable and varied patient dataset, including both those with and without cardiac disease, is used to run the model. The effectiveness of the model's ability to identify people who are at high risk is analyzed utilizing its performance criteria, which include F1-score, recall, accuracy, and precision. Comparisons with existing risk prediction models are made to show improvements in accuracy and dependability. This system uses the Random Forest algorithm and boasts a remarkable accuracy rate of 95.2%, which is a significant advance in both healthcare and data science. This reduces the need for in-person medical visits, enhances patient convenience, and enables healthcare professionals to monitor a larger number of patients effectively.

Published Paper   E-Certificate

"ENHANCING HEART DISEASE PREDICTION SYSTEM USING IOT AND ML", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 10, page no.d552-d564, October-2023, Available :https://ijnrd.org/papers/IJNRD2310374.pdf

Volume 8 Issue 10, October-2023

Pages : d552-d564

Paper Reg. ID: IJNRD_207837

Published Paper Id: IJNRD2310374

Downloads: 000121163

Research Area: Engineering

Country: Ramapuram, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310374.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310374

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

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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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