Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
Nitish Biswas, Khandaker Mohammad Mohi Uddin, Sarreha Tasmin Rikta, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100116-100116
Open Access | Times Cited: 69

Showing 26-50 of 69 citing articles:

Prediction of the Occurrence of Stroke Based on Machine Learning Models
Yurii Patereha, Mykhaylo Melnyk
Computer Design Systems Theory and Practice (2024) Vol. 6, Iss. 1, pp. 17-27
Closed Access | Times Cited: 1
A fine-tuned transformer model for brain tumor detection and classification
B. Srinivas, B. Anilkumar, N Lakshmi Devi, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
The most efficient machine learning algorithms in stroke prediction: A systematic review
Farkhondeh Asadi, Milad Rahimi, Amir Hossein Daeechini, et al.
Health Science Reports (2024) Vol. 7, Iss. 10
Open Access | Times Cited: 1
Mobile Application and Machine Learning-Driven Scheme for Intelligent Diabetes Progression Analysis and Management Using Multiple Risk Factors
Huaiyan Jiang, Han Wang, Ting Pan, et al.
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1053-1053
Open Access | Times Cited: 1
Comparative analysis of resampling algorithms in the prediction of stroke diseases
Dauda Sani Abdullahi, Muhammad Sirajo Aliyu, Usman Musa Abdullahi
UMYU Scientifica (2023) Vol. 2, Iss. 1, pp. 88-94
Open Access | Times Cited: 2
Development of machine learning modelling and dengue risk mapping: a concept framework
Zeenat Hadi, Nazri Che Dom
IOP Conference Series Earth and Environmental Science (2023) Vol. 1217, Iss. 1, pp. 012038-012038
Open Access | Times Cited: 2
The Crystal Ball of Marketing: How Predictive Analytics is Reshaping the Industry?
Parihar Suresh Dahake, Shravan Chandak, Rahul Mohare, et al.
(2023)
Closed Access | Times Cited: 2
A stroke prediction framework using explainable ensemble learning
Mostarina Mitu, S. M. Mahedy Hasan, Md Palash Uddin, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-20
Closed Access
Application of machine learning methods for predicting the risk of stroke occurrence
Liubomyr-Oleksii Chereshchuk, Nataliia Melnykova
Scientific journal of the Ternopil national technical university (2024) Vol. 1, Iss. 113, pp. 27-35
Open Access
A predictive approach for myocardial infarction risk assessment using machine learning and big clinical data
Imen Boudali, Sarra Chebaane, Yassine Zitouni
Healthcare Analytics (2024) Vol. 5, pp. 100319-100319
Open Access
ПРОГНОЗУВАННЯ РИЗИКУ НЕВРОЛОГІЧНИХ РОЗЛАДІВ ТА ПОРУШЕНЬ ОПОРНО-РУХОВОГО АПАРАТУ В ПОСТІНСУЛЬТНИХ ПАЦІЄНТІВ
Н. Т. Шалабай, С. І. Шкробот, Д. О. Ковальчук, et al.
Медсестринство (2024), Iss. 3-4, pp. 86-92
Open Access
Design and Development of a Hybrid Evolutionary Method with a Special Selection Artificial Immune System for Stroke Prediction: A Balancing Approach
Şerife Çelikbaş, Zeynep Orman, Abdurrahim Akgündoğdu
Authorea (Authorea) (2024)
Open Access
ПРОГНОЗУВАННЯ СТУПЕНІВ НЕВРОЛОГІЧНИХ РОЗЛАДІВ, ПОРУШЕНЬ ОПОРНО-РУХОВОГО АПАРАТУ ТА ПОКАЗНИКІВ ЯКОСТІ ЖИТТЯ В ПОСТІНСУЛЬТНИХ ПАЦІЄНТІВ
Н. Т. Шалабай, С. І. Шкробот, Д. О. Ковальчук, et al.
Медсестринство (2024), Iss. 1, pp. 54-60
Closed Access
Machine Learning-Driven Stroke Prediction Using Independent Dataset
Fatin Natasha Binti Zahari, Kannan Ramakrishnan
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 2, pp. 1030-1030
Open Access
Machine Learning for Predicting Stroke Occurrences Using Imbalanced Data
Nataliia Melnykova, Yurii Patereha, Liubomyr-Oleksii Chereshchuk, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 281-305
Closed Access
StrokeDNN: A Convolutional Neural Network and Gated Recurrent Unit Integrated Brain Stroke Prediction System
Tasmiah Tahrim, Jannatul Farzana Tandra, Sumaiya Tabassum, et al.
(2024), pp. 161-166
Closed Access
An Ensemble Machine Learning and Data Mining Approach to Enhance Stroke Prediction
Richard Wijaya, Faisal Saeed, Parnia Samimi, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 672-672
Open Access
Stroke Prediction Using Deep Learning and Transfer Learning Approaches
Dong‐Her Shih, Yi-Huei Wu, Ting-Wei Wu, et al.
IEEE Access (2024) Vol. 12, pp. 130091-130104
Open Access
Brain Stroke Prediction Using Machine Learning
R. Aarthi, P. Vanitha, P. Rajalakshmi, et al.
Lecture notes in networks and systems (2024), pp. 296-304
Closed Access
Graph Convolutional Network for Occupational Disease Prediction with Multiple Dimensional Data
Khanh Nguyen, Tuan Vu-Van, Phuong Luong Thi Bich
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access
An Approach to Develop Cerebra-Vascular-Haemato-Cardiac Detector using Machine Learning Techniques
Shambhu Nath Saha
Deleted Journal (2024) Vol. 31, Iss. 6s, pp. 224-232
Open Access
Prediction of heart disease using XGB classifier
S. Vijayalakshmi, V. Sivakumar, C. Nataraj, et al.
AIP conference proceedings (2024) Vol. 3161, pp. 020033-020033
Closed Access
Machine Learning Model Enabled with Data Optimisation for Prediction of Coronary Heart Disease
Peddapuram Chendra Kanth, S. Vijayalakshmi, Tiny S Palathara
(2024), pp. 1-5
Closed Access
Optimizing Stroke Detection: An Analysis of Different Feature Selection Approaches
Monirul Islam Mahmud, Md Shihab Reza, Syeda Shabnam Khan
(2024), pp. 142-146
Closed Access
Early Brain Stroke Detection Based on Optimized Cuckoo Search Using LSTM‐Gated Multi‐Perceptron Neural Network
Anita Venaik, A. Asha, B. Dhiyanesh, et al.
(2024), pp. 265-299
Closed Access

Scroll to top