This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (651) Machine Learning (1780) Stroke (201) Clinical Information and Decision Making (1696) Clinical Informatics (1180) Tools, Programs and Algorithms (326)

Published on in Vol 5, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23440, first published .
Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models

Authors of this article:

Eman M Alanazi1, 2 Author Orcid Image ;   Aalaa Abdou3 Author Orcid Image ;   Jake Luo4 Author Orcid Image
Article Authors Cited by (27) Tweetations (4) Metrics

Journals

  1. Kokkotis C, Giarmatzis G, Giannakou E, Moustakidis S, Tsatalas T, Tsiptsios D, Vadikolias K, Aggelousis N. An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data. Diagnostics 2022;12(10):2392 View
  2. Alharthi N, Alanazi E, Liu X. Awareness Level of Huntington Disease: Comprehensive Analysis of Tweets During Huntington Disease Awareness Month. Computer Methods and Programs in Biomedicine Update 2023;4:100117 View
  3. Sasano T, Ihara K, Tanaka T, Furukawa T, Yuasa S. Risk stratification of atrial fibrillation and stroke using single nucleotide polymorphism and circulating biomarkers. PLOS ONE 2023;18(10):e0292118 View
  4. Okeibunor J, Jaca A, Iwu-Jaja C, Idemili-Aronu N, Ba H, Zantsi Z, Ndlambe A, Mavundza E, Muneene D, Wiysonge C, Makubalo L. The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review. Frontiers in Public Health 2023;11 View
  5. Abegaz T, Baljoon A, Kilanko O, Sherbeny F, Ali A. Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes. Computers in Biology and Medicine 2023;164:107289 View
  6. Abujaber A, Albalkhi I, Imam Y, Nashwan A, Akhtar N, Alkhawaldeh I. Machine learning-based prognostication of mortality in stroke patients. Heliyon 2024;10(7):e28869 View
  7. Hassan A, Gulzar Ahmad S, Ullah Munir E, Ali Khan I, Ramzan N. Predictive modelling and identification of key risk factors for stroke using machine learning. Scientific Reports 2024;14(1) View
  8. Shih D, Wu Y, Wu T, Chu H, Shih M. Stroke Prediction Using Deep Learning and Transfer Learning Approaches. IEEE Access 2024;12:130091 View
  9. Asadi F, Rahimi M, Daeechini A, Paghe A. The most efficient machine learning algorithms in stroke prediction: A systematic review. Health Science Reports 2024;7(10) View
  10. Abujaber A, Yaseen S, Imam Y, Nashwan A, Akhtar N. Machine learning-based prediction of one-year mortality in ischemic stroke patients. Oxford Open Neuroscience 2024;3 View
  11. Wei Y, Lin D, Lian Y, Wei Q, Zheng L, Yuan K, Zhao J, Kuang K, Tang Y, Gao Y. Population data study reveals pain as a possible protective factor against cerebrovascular disease in cancer patients. Scientific Reports 2024;14(1) View
  12. Swain K, Tak T, Upreti K, Kshirsagar P, Krishnan S, Poonia R, Nayak S, Mohanty M. Enhancing Stroke Prediction Using LightGBM With SMOTE-ENN and Fine-Tuning: A Comprehensive Analysis. Cureus Journal of Computer Science 2024 View
  13. Yusufu M, Friedman D, Kang M, Padhye A, Shang X, Zhang L, Shi D, He M. Retinal vascular fingerprints predict incident stroke: findings from the UK Biobank cohort study. Heart 2025;111(7):306 View
  14. Zhang Y, Subramaniya K. Stroke Prediction Based on Machine Learning. ITM Web of Conferences 2025;70:04029 View
  15. Heseltine-Carp W, Courtman M, Browning D, Kasabe A, Allen M, Streeter A, Ifeachor E, James M, Mullin S. Machine learning to predict stroke risk from routine hospital data: A systematic review. International Journal of Medical Informatics 2025;196:105811 View
  16. Zhu J, Lin L, Si L, Zhao H, Song H, Xu X. Urban and rural disparities in stroke prediction using machine learning among Chinese older adults. Scientific Reports 2025;15(1) View
  17. M. C. O, J. E. O, V. O, S. O. Comparative Study of Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machine (SVM) In Dataset. Advanced Journal of Science, Technology and Engineering 2025;5(1):70 View
  18. Mishkin I, Koncevaya A, Drapkina O. Prediction of cardiovascular events with using proportional risk models and machine learning algorithms: a systematic review. The European Physical Journal Special Topics 2025 View

Books/Policy Documents

  1. Aissaoui F, Boudali I, Abdellatif T. Advances in Model and Data Engineering in the Digitalization Era. View

Conference Proceedings

  1. Saleh H, Hussien A, Hassan M, Ali A. 2022 International Conference on Engineering & MIS (ICEMIS). Predicting Stroke Disease Based on Recurrent Neural Network and Optimization techniques View
  2. Fiona Mary M, Rajeswari M, Amalasweena M. 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). Neural Network-based Prognostic Model for Cerebrovascular Accident using CT Scans View
  3. V V, A C R, B.D P, Sharma A. 2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT). Brain Stroke Prediction using Decision Tree Algorithm View
  4. Shivani , Vardhan H, Gupta A, Goswami D, Zubair M, Mangal L. 2023 International Conference on Artificial Intelligence and Smart Communication (AISC). Experimental analysis of Disease Prediction using Machine Learning View
  5. Amrutha R, Roshni S, Sahana M, Chapparapu S, Balasubramanyam A. 2024 IEEE International Conference on Digital Health (ICDH). Prediction of stroke using single lead ECG signal: A deep learning approach View
  6. Husin H, Azman A, Hamzah N, Anand Kumar P. 2024 International Visualization, Informatics and Technology Conference (IVIT). Early Prediction of Stroke using XGBoost classification View
  7. Aref T. 2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). Predicting Stroke Risk Using SMOTE and ROS Machine Learning Techniques View
  8. Rathna R. 2025 International Conference on Information Networking (ICOIN). An Intelligent Decision Support System for Early Detection of Chronic Kidney Disease using Machine Learning Models View