Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study With a Web Application for Early Intervention-Reference-Cited by-同舟云学术

Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study With a Web Application for Early Intervention

Author:

Mridha Krishna¹^ORCID,Ghimire Sandesh¹^ORCID,Shin Jungpil²^ORCID,Aran Anmol¹^ORCID,Uddin Md. Mezbah¹,Mridha M. F.³^ORCID

Affiliation:

1. Department of Computer Engineering, Marwadi University, Rajkot, India

2. Department of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

3. Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh

Funder

Competitive Research Fund of The University of Aizu, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference33 articles.

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. 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

4. Integrated KIFCM Clustering Technique for Brain Stroke Segmentation;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03