A Machine Learning Approach to Detect the Brain Stroke Disease-Reference-Cited by-同舟云学术

A Machine Learning Approach to Detect the Brain Stroke Disease

Published:2022-01-20 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Akter Bonna¹,Rajbongshi Aditya²,Sazzad Sadia³,Shakil Rashiduzzaman¹,Biswas Jahanur²,Sara Umme³

Affiliation:

1. Daffodil International University,Dept. of CSE,Dhaka,Bangladesh

2. Jahangirnagar University,Dept. of CSE,Dhaka,Bangladesh

3. National Institute of Textile Engineering and Research,Dept. of CSE,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716239/9716227/09716345.pdf?arnumber=9716345

Reference20 articles.

1. Identification of significant features and data mining techniques in predicting heart disease

2. Prediction of Cardiovascular Disease Through Cutting-Edge Deep Learning Technologies;ashraf;An Empirical Study Based on TENSORFLOW PYTORCH and KERAS International Conference on Innovative Com-puting and Communications,2021

3. Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines

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