A comparative study of machine learning approaches for heart stroke prediction-Reference-Cited by-同舟云学术

A comparative study of machine learning approaches for heart stroke prediction

Published:2023-07-25 Issue: Volume: Page:
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Container-title:2023 International Conference on Smart Applications, Communications and Networking (SmartNets)
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Author:

Das Madhab Chandra¹,Liza Fatema Tabassum²,Pandit Partha Pratim³,Tabassum Fariha⁴,Mamun Miraz Al⁵,Bhattacharjee Sharmistha⁶,Kashem Md Shakil Bin⁶

Affiliation:

1. University of Information Technology and Sciences,Electrical and Electronic Engineering,Dhaka,Bangladesh

2. Florida State University,Computer Science,Tallahassee,Florida,USA

3. Miami University,Mechanical and Manufacturing Engineering,Oxford,Ohio,USA

4. Western Michigan University,Department of Sociology,Kalamazoo,Michigan,USA

5. CHRISTUS Health,Health Outcomes & Analytics,Irving,Texas,United States

6. Miami University,Department of Physics,Oxford,OH,USA

Publisher

IEEE

Link

Reference22 articles.

3. Prediction and control of stroke by data mining;amini;International Journal of Preventive Medicine,2013

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1. Machine-Learning Application for Detection and Prediction of Stroke Risk and Post-Stroke Outcomes: A Comprehensive Review;2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2024-08-01

2. Heart Stroke Prediction Using Machine Learning and Explainable AI Insights;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

3. Flask Powered Heart Health Predictor Using Machine Learning Algorithms;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15