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Cardiovascular Disease Prediction Using Machine Learning Models
A. Nikam, S. Bhandari, A. Mhaske,
Published in Institute of Electrical and Electronics Engineers Inc.
Pages: 22 - 27
Cardiovascular diseases are one of the most vital causes offatality. Cardiovascular disease prediction is a critical challenge in the area of clinical data analysis. Machine learning and Neural Networks are more promising in assisting decide and predict from the massive data produced by healthcare. We have noted different features had used in recent developments of the machine learning model. In this paper, we proposed machine learning techniques to predict cardiovascular disease using features. BMI is one of the highlighting features we used for prediction. BMI is important in predicting cardiovascular disease. The main focus of the article isthe effect ofBMI onthe prediction of cardiovascular disease. The model has proposed with different features as well as regression and classification techniques. We conclude that BMI is a significant factor while predicting cardiovascular disease. © 2020 IEEE.
About the journal
JournalData powered by Typeset2020 IEEE Pune Section International Conference, PuneCon 2020
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers Inc.