Applying Machine Learning Techniques for Stroke Prediction in Patients-Reference-Cited by-同舟云学术

Applying Machine Learning Techniques for Stroke Prediction in Patients

Published:2021-10-08 Issue: Volume: Page:
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Container-title:2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)
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Author:

Kavitha R.K.,Jaisingh W.,Sujithra S.R.

Publisher

IEEE

Link

Reference15 articles.

1. An Effective Stroke Prediction System using Predictive Models;ashokan;International Research Journal of Engineering and Technology (IRJET),2020

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1. Stroke Factor Analysis based on Granger Causality Test;Highlights in Science, Engineering and Technology;2023-04-01

2. Machine Learning on Stroke Risk Prediction Systems as Complementary Technology for Neurologists: A Critical Review;2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2022-12-01

3. An Ensemble Machine Learning Approach for Stroke Prediction;2022 International Research Conference on Smart Computing and Systems Engineering (SCSE);2022-09-01

4. Performance Analysis and Comparison of Cerebral Stroke Prediction Models on Imbalanced Datasets;2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD);2022-08-04