OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Risk Detection of Stroke Using a Feature Selection and Classification Method
Yonglai Zhang, Wenai Song, Shuai Li, et al.
IEEE Access (2018) Vol. 6, pp. 31899-31907
Open Access | Times Cited: 24
Yonglai Zhang, Wenai Song, Shuai Li, et al.
IEEE Access (2018) Vol. 6, pp. 31899-31907
Open Access | Times Cited: 24
Showing 24 citing articles:
Analyzing the impact of feature selection on the accuracy of heart disease prediction
Muhammad Salman Pathan, Avishek Nag, Muhammad Mohisn Pathan, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100060-100060
Open Access | Times Cited: 103
Muhammad Salman Pathan, Avishek Nag, Muhammad Mohisn Pathan, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100060-100060
Open Access | Times Cited: 103
DRFS: Detecting Risk Factor of Stroke Disease from Social Media Using Machine Learning Techniques
S. Pradeepa, K. R. Manjula, S. Vimal, et al.
Neural Processing Letters (2020) Vol. 55, Iss. 4, pp. 3843-3861
Closed Access | Times Cited: 58
S. Pradeepa, K. R. Manjula, S. Vimal, et al.
Neural Processing Letters (2020) Vol. 55, Iss. 4, pp. 3843-3861
Closed Access | Times Cited: 58
Stroke classification based on deep reinforcement learning over stroke screening imbalanced data
Ting Zuo, Fenglian Li, Xueying Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 114, pp. 109069-109069
Closed Access | Times Cited: 7
Ting Zuo, Fenglian Li, Xueying Zhang, et al.
Computers & Electrical Engineering (2024) Vol. 114, pp. 109069-109069
Closed Access | Times Cited: 7
Identifying Stroke Indicators Using Rough Sets
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, et al.
IEEE Access (2020) Vol. 8, pp. 210318-210327
Open Access | Times Cited: 39
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, et al.
IEEE Access (2020) Vol. 8, pp. 210318-210327
Open Access | Times Cited: 39
Stroke Disease Prediction based on ECG Signals using Deep Learning Techniques
M. Anand Kumar, N Abirami, Guru Prasad M S, et al.
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (2022), pp. 453-458
Closed Access | Times Cited: 24
M. Anand Kumar, N Abirami, Guru Prasad M S, et al.
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (2022), pp. 453-458
Closed Access | Times Cited: 24
Binary Symbiotic Organism Search Algorithm for Feature Selection and Analysis
Cao Han, Guo Zhou, Yongquan Zhou
IEEE Access (2019) Vol. 7, pp. 166833-166859
Open Access | Times Cited: 35
Cao Han, Guo Zhou, Yongquan Zhou
IEEE Access (2019) Vol. 7, pp. 166833-166859
Open Access | Times Cited: 35
Square Static – Deep Hyper Optimization and Genetic Meta-Learning Approach for Disease Classification
P. Dhivya, P. Rajesh Kanna, K. Deepa, et al.
IETE Journal of Research (2023) Vol. 70, Iss. 4, pp. 3835-3844
Closed Access | Times Cited: 10
P. Dhivya, P. Rajesh Kanna, K. Deepa, et al.
IETE Journal of Research (2023) Vol. 70, Iss. 4, pp. 3835-3844
Closed Access | Times Cited: 10
A hybrid system to predict brain stroke using a combined feature selection and classifier
Priyanka Bathla, Rajneesh Kumar
Intelligent Medicine (2023) Vol. 4, Iss. 2, pp. 75-82
Open Access | Times Cited: 10
Priyanka Bathla, Rajneesh Kumar
Intelligent Medicine (2023) Vol. 4, Iss. 2, pp. 75-82
Open Access | Times Cited: 10
A Stroke Risk Detection: Improving Hybrid Feature Selection Method
Yonglai Zhang, Yaojian Zhou, Dongsong Zhang, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 4, pp. e12437-e12437
Open Access | Times Cited: 29
Yonglai Zhang, Yaojian Zhou, Dongsong Zhang, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 4, pp. e12437-e12437
Open Access | Times Cited: 29
An Improved Concatenation of Deep Learning Models for Predicting and Interpreting Ischemic Stroke
Sapiah Sakri, Shakila Basheer, Zuhaira Muhammad Zain, et al.
IEEE Access (2024) Vol. 12, pp. 53189-53204
Open Access | Times Cited: 1
Sapiah Sakri, Shakila Basheer, Zuhaira Muhammad Zain, et al.
IEEE Access (2024) Vol. 12, pp. 53189-53204
Open Access | Times Cited: 1
Applying Machine Learning Techniques for Stroke Prediction in Patients
R. Kavitha, W. Jaisingh, S.R. Sujithra
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) (2021), pp. 1-4
Closed Access | Times Cited: 7
R. Kavitha, W. Jaisingh, S.R. Sujithra
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA) (2021), pp. 1-4
Closed Access | Times Cited: 7
Ischemic Stroke Prediction with B-LSTM based on ECG Signals
M. Anand Kumar, Kamlesh Chandra Purohit, Anshika Gupta, et al.
2022 8th International Conference on Signal Processing and Communication (ICSC) (2022), pp. 404-411
Closed Access | Times Cited: 4
M. Anand Kumar, Kamlesh Chandra Purohit, Anshika Gupta, et al.
2022 8th International Conference on Signal Processing and Communication (ICSC) (2022), pp. 404-411
Closed Access | Times Cited: 4
Stroke Prediction Using the Trust Evaluation with Data Leakage Avoiding
Xiaoyan Ye, Wenchao Xu, Xiaoying Ye, et al.
Journal of Physics Conference Series (2023) Vol. 2560, Iss. 1, pp. 012051-012051
Open Access | Times Cited: 2
Xiaoyan Ye, Wenchao Xu, Xiaoying Ye, et al.
Journal of Physics Conference Series (2023) Vol. 2560, Iss. 1, pp. 012051-012051
Open Access | Times Cited: 2
Stroke Risk Factor Prediction Using Machine Learning Techniques: A Systematic Review
Olusola Olabanjo, Ashiribo Senapon Wusu, Oseni Afisi, et al.
Journal of Applied Sciences (2024) Vol. 24, Iss. 1, pp. 1-15
Open Access
Olusola Olabanjo, Ashiribo Senapon Wusu, Oseni Afisi, et al.
Journal of Applied Sciences (2024) Vol. 24, Iss. 1, pp. 1-15
Open Access
Prediction Analysis Of Four Disease Risk Using Decision Tree C4.5
Nabilla Rahayu Rusyana, Faiza Renaldi, Dea Destiani
(2023) Vol. 2018 febru, pp. 90-94
Closed Access | Times Cited: 1
Nabilla Rahayu Rusyana, Faiza Renaldi, Dea Destiani
(2023) Vol. 2018 febru, pp. 90-94
Closed Access | Times Cited: 1
Investigation on the capabilities of ANFIS for the detection of Ischemic Stroke
R. Srinidhi, Sri Lakshmi S, G Yamini, et al.
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) (2021) Vol. 115, pp. 1-5
Closed Access | Times Cited: 2
R. Srinidhi, Sri Lakshmi S, G Yamini, et al.
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) (2021) Vol. 115, pp. 1-5
Closed Access | Times Cited: 2
A Study on Multidimensional Medical Data Processing Based on Random Forest
Lifeng Zhang, Hongyan Cui, Roy E. Welsch
(2020), pp. 1-5
Closed Access | Times Cited: 1
Lifeng Zhang, Hongyan Cui, Roy E. Welsch
(2020), pp. 1-5
Closed Access | Times Cited: 1
Cerebrovascular Stroke Detection Using Machine Learning Algorithms
K. Susitra, T Mahalakshmi, E. Madhumitha
2022 1st International Conference on Computational Science and Technology (ICCST) (2022), pp. 273-275
Closed Access | Times Cited: 1
K. Susitra, T Mahalakshmi, E. Madhumitha
2022 1st International Conference on Computational Science and Technology (ICCST) (2022), pp. 273-275
Closed Access | Times Cited: 1
Performance Analysis of Machine Learning Algorithms for Prediction of Cerebral Attack (Stroke)
Diganta Sengupta, Subhash Mondal, Yash Raj Singh, et al.
Lecture notes in networks and systems (2023), pp. 215-228
Closed Access
Diganta Sengupta, Subhash Mondal, Yash Raj Singh, et al.
Lecture notes in networks and systems (2023), pp. 215-228
Closed Access
Brain Stroke Predictive Analysis using Various Machine Learning Algorithms
S. Niveditha, Suresh ., Yenaganti Purna Chandra Rao, et al.
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 5, pp. 3449-3453
Open Access
S. Niveditha, Suresh ., Yenaganti Purna Chandra Rao, et al.
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 5, pp. 3449-3453
Open Access
A Survey on Detection of Stroke Using Various Machine Learning Approaches
S. Priyanka, S S Deepa
International Journal of Scientific Research in Science Engineering and Technology (2020), pp. 305-311
Open Access
S. Priyanka, S S Deepa
International Journal of Scientific Research in Science Engineering and Technology (2020), pp. 305-311
Open Access
A Machine Learning-Based Survey of Cerebrovascular Disease Prediction
M. Nithya, T. Kokilavani
International Journal For Innovative Engineering and Management Research (2022), pp. 228-236
Open Access
M. Nithya, T. Kokilavani
International Journal For Innovative Engineering and Management Research (2022), pp. 228-236
Open Access
Identifying Stroke Indicators Using Rough Sets
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, et al.
arXiv (Cornell University) (2021)
Closed Access
Muhammad Salman Pathan, Jianbiao Zhang, Deepu John, et al.
arXiv (Cornell University) (2021)
Closed Access
Interpretable prediction for in-hospital adverse stroke events with feature engineering (Preprint)
Shuo Zhang, Runzhi Li, Nan Wang, et al.
(2021)
Closed Access
Shuo Zhang, Runzhi Li, Nan Wang, et al.
(2021)
Closed Access
