Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30277, first published .
Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Accurate Prediction of Stroke for Hypertensive Patients Based on Medical Big Data and Machine Learning Algorithms: Retrospective Study

Journals

  1. Mapundu M, Kabudula C, Musenge E, Olago V, Celik T. Performance evaluation of machine learning and Computer Coded Verbal Autopsy (CCVA) algorithms for cause of death determination: A comparative analysis of data from rural South Africa. Frontiers in Public Health 2022;10 View
  2. Zhao P, Xue J, Xu X, Wang L, Chen D, Wong K. Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation. Computational and Mathematical Methods in Medicine 2022;2022:1 View
  3. Liao X, Yao C, Zhang J, Liu L. Recent advancement in integrating artificial intelligence and information technology with real‐world data for clinical decision‐making in China: A scoping review. Journal of Evidence-Based Medicine 2023;16(4):534 View
  4. Saleem M, Javeed A, Akarathanawat W, Chutinet A, Suwanwela N, Asdornwised W, Chaitusaney S, Deelertpaiboon S, Srisiri W, Benjapolakul W, Kaewplung P. Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages. IEEE Access 2024;12:35754 View
  5. Bakris G, Lin P, Xu C, Chen C, Ashton V, Singhal M. Prediction of cardiovascular and renal risk among patients with apparent treatment‐resistant hypertension in the United States using machine learning methods. The Journal of Clinical Hypertension 2024;26(5):500 View
  6. Song M, Wang Y, Jiang Y, Pi H, Lyu H, Gao Y. Risk factors for subsequent fractures in hip fracture patients: a nested case-control study. Journal of Orthopaedic Surgery and Research 2024;19(1) View
  7. Islam U, Mehmood G, Al-Atawi A, Khan F, Alwageed H, Cascone L. NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics. Journal of Neuroscience Methods 2024;409:110210 View
  8. Li X, Wang S, Wu K, Mo C, Li F, Cheng Z, Liang F, Zheng J, Gu D. Time-dependent cardiovascular risks following pneumonia in inpatient and outpatient settings: A register-based cohort study. International Journal of Cardiology Cardiovascular Risk and Prevention 2024;22:200317 View
  9. Gupta A, Mishra N, Jatana N, Malik S, Gepreel K, Asmat F, Mohanty S. Predicting stroke risk: An effective stroke prediction model based on neural networks. Journal of Neurorestoratology 2024:100156 View
  10. 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