A hybrid system to predict brain stroke using a combined feature selection and classifier-Reference-Cited by-同舟云学术

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A hybrid system to predict brain stroke using a combined feature selection and classifier

Published:2023-08 Issue: Volume: Page:
ISSN:2667-1026
Container-title:Intelligent Medicine
language:en
Short-container-title:Intelligent Medicine

Author:

Bathla Priyanka,Kumar Rajneesh

Publisher

Elsevier BV

Subject

Health Informatics,Medicine (miscellaneous),Biomedical Engineering,Artificial Intelligence

Reference31 articles.

1. Stroke disease detection and prediction using robust learning approaches;Tazin;J Healthc Eng,2021

2. Machine learning algorithm for stroke disease classification;Badriyah,2020

3. Comparison of feature selection techniques in classifying stroke documents;Rafei;Indones J Electr Eng Comput Sci,2019

4. A survey on feature selection;Miao;Procedia Comput Sci,2016

5. A systematic method for breast cancer classification using RFE feature selection;Sachdeva,2022

Cited by 3 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

1. StrokeDNN: A Convolutional Neural Network and Gated Recurrent Unit Integrated Brain Stroke Prediction System;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

2. Optimized Cascade and Elman Neural Network for CT Image-Based Brain Stroke Classification;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

3. Brain Stroke Prediction Using Machine Learning;Lecture Notes in Networks and Systems;2024

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