Published on in Vol 23, No 1 (2021): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/20123, first published
.
Journals
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- du Toit C, Tran T, Deo N, Aryal S, Lip S, Sykes R, Manandhar I, Sionakidis A, Stevenson L, Pattnaik H, Alsanosi S, Kassi M, Le N, Rostron M, Nichol S, Aman A, Nawaz F, Mehta D, Tummala R, McCallum L, Reddy S, Visweswaran S, Kashyap R, Joe B, Padmanabhan S. Survey and Evaluation of Hypertension Machine Learning Research. Journal of the American Heart Association 2023;12(9) View
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- Chong M, Hickie I, Cross S, McKenna S, Varidel M, Capon W, Davenport T, LaMonica H, Sawrikar V, Guastella A, Naismith S, Scott E, Iorfino F. Digital Application of Clinical Staging to Support Stratification in Youth Mental Health Services: Validity and Reliability Study. JMIR Formative Research 2023;7:e45161 View
- Tuppad A, Devi Patil S. An efficient classification framework for Type 2 Diabetes incorporating feature interactions. Expert Systems with Applications 2024;239:122138 View
- El-Sherbini A, Hassan Virk H, Wang Z, Glicksberg B, Krittanawong C. Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review. AI 2023;4(2):437 View
- Guo S, Ge J, Liu S, Zhou J, Li C, Chen H, Chen L, Shen Y, Zhou Q. Development of a convenient and effective hypertension risk prediction model and exploration of the relationship between Serum Ferritin and Hypertension Risk: a study based on NHANES 2017—March 2020. Frontiers in Cardiovascular Medicine 2023;10 View
- Li L, Cheng Y, Ji W, Liu M, Hu Z, Yang Y, Wang Y, Zhou Y. Machine learning for predicting diabetes risk in western China adults. Diabetology & Metabolic Syndrome 2023;15(1) View
- Huang A, Huang S. Shapely additive values can effectively visualize pertinent covariates in machine learning when predicting hypertension. The Journal of Clinical Hypertension 2023;25(12):1135 View
- Al-Zubayer M, Alam K, Shanto H, Maniruzzaman M, Majumder U, Ahammed B. Machine learning models for prediction of double and triple burdens of non-communicable diseases in Bangladesh. Journal of Biosocial Science 2024;56(3):426 View
- Nuthakki P, Kumar T. Machine learning-based early detection of diabetes risk factors for improved health management. Multimedia Tools and Applications 2024 View
- Abbas S, Avelino Sampedro G, Krichen M, Alamro M, Mihoub A, Kulhanek R. Effective Hypertension Detection Using Predictive Feature Engineering and Deep Learning. IEEE Access 2024;12:89055 View
- Addo G, Yeboah B, Obuobi M, Doh-Nani R, Mohammed S, Amakye D. Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach. Journal of Diabetology 2024;15(4):401 View
- Liu J, Huang W, Hu J, Hong N, Rhee Y, Li Q, Chen C, Chueh J, Lin Y, Wu V. Validating Machine Learning Models Against the Saline Test Gold Standard for Primary Aldosteronism Diagnosis. JACC: Asia 2024 View