Published on in Vol 13 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/79307, first published
.

Journals
- Arikhad M, Tariq A, Rasool S. Risk Analysis in Cardiovascular Healthcare Systems Using Machine Learning for Better Clinical Decision Support. International Journal of Innovative Research in Computer Science and Technology 2026;14(2):34 View
- Salim S, Ibrahim A. A Machine Learning Approach for Predicting 30-Day Hospital Readmission in Patients with Diabetes. Healthcare 2026;14(9):1185 View
- Mehal K, Pielich W, Siusta N, Gałan K, Kuczyńska S, Balicka-Dworczak N. ARTIFICIAL INTELLIGENCE AND THE DIAGNOSTIC INVISIBILITY OF WOMEN’S METABOLIC DISORDERS: A NARRATIVE REVIEW OF SOCIO-TECHNICAL CHALLENGES IN PCOS/PMOS RECOGNITION. International Journal of Innovative Technologies in Social Science 2026;3(2(50)) View
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- Chen F, Fu Q, Li L, Zhang X, Ge Y, Chen J. Development and validation of an interpretable machine learning model for predicting atrial fibrillation risk in middle-aged and older patients with coronary heart disease. Frontiers in Cardiovascular Medicine 2026;13 View
- Willis C, Goodin D, Miller H, Suliman S, Frieboes H. Evaluation of accuracy and potential biases of imputation methods on biomedical datasets subject to different mechanisms and patterns of missingness. Computer Methods and Programs in Biomedicine Update 2026;10:100263 View
- Ma W, Sun W, Hu Z, Liang W, Li H. Development and internal validation of machine learning models for gouty arthritis classification using routine clinical variables: a retrospective study. Frontiers in Medicine 2026;13 View
- Liu Y, Liu Y, Zhao Y, Luo Y, Hao X. From static snapshots to longitudinal trajectories: artificial intelligence in women’s reproductive and ovarian health. Frontiers in Endocrinology 2026;17 View
- Anghel C, Anghel A, Craciun M, Moldovanu S, Cocu A, Vulpe D, Maier C, Potop V, Dragosloveanu C, Andrei C, Dragosloveanu S, Scheau C. From Medical Records to AI-Ready Datasets: A Practical Guide for Clinical Researchers. Journal of Clinical Medicine 2026;15(16):6297 View
- Nyakundi N, Ndiritu J, Mwaniki I, Kamanu T. Machine Learning-Based Imputation for Breast Cancer Prediction: Evaluating Performance Under Complex Missing Data Mechanisms. AppliedMath 2026;6(8):134 View
- Jung J, Yang W, Kim J. A Hierarchical Machine Learning–Based Framework for Clinical Decision Support in Foot Orthosis Prescription: Algorithm Development and Validation Study. JMIR Medical Informatics 2026;14:e92831 View
- Tran M, Pham D. A Variational Recurrent Neural Network with Stochastic Attention for Imputation of Irregularly Sampled ICU Time Series under Non-Random Missingness. Journal of Artificial Intelligence for Healthcare Systems 2026;5(1) View
- Xu L, Cao W, Huang Z, Lu K, Fang Y, Zhang J, Zhang P, Feng T. Development and external validation of an explainable machine learning model for in-hospital mortality risk stratification in intensive care unit patients with heart failure. Frontiers in Cardiovascular Medicine 2026;13 View
- Zhao X, Zhang Y, Tang H, Long J, Dong H, Kuang G, Song J. Prediction models for infection after kidney transplantation: a systematic review. Frontiers in Medicine 2026;13 View
- Chi H, Liu X, Yan Y, Wang L, Luo P, Su L, Jiang L, Zhou X, Huang G, Jiang Y, Yin S, Su K, Chen H, Zhang G, Zhang P, Zhang H, Ye B, Cao Q, Liu J, Khadka V, Yang H, Yang G, Xu J, Wang P, Wang X, Xia Z, Li X, Deng Y, Li Z, Xu K. Trustworthy AI for disease pathogenesis and precision medicine: A disease-agnostic framework from data to deployment. Genes & Diseases 2026:102480 View
- Tsai Y, Wu Y, Yu Y, Chen Y, Yang Y, Lo Y. Development and Temporal External Validation of a Parsimonious, Interpretable Machine Learning Model for Predicting 6-Month Mortality in Long-Term Care Facilities: A Retrospective Cohort Study. JMIR Aging 2026;9:e94567 View
- Purwitasari D, Nursalam , Qona'ah A, Amaliah B, Navastara D, Priambodo T. Cardiovascular Disease Classification Using K-Nearest Neighbors with Multiple Imputation by Chained Equations (KNN-MICE). Engineering, Technology & Applied Science Research 2026;16(5):39769 View
- T O, R P, V K, T S, K K, K S. Comparative Evaluation of Tree-Based Algorithms for Postpartum Mental Health Risk: a Methodological Benchmark. International Research Journal of Multidisciplinary Technovation 2026:296 View
- Khamitova Z, Omarova G, Akanova A, Abdukarimova A, Kadirkulov K, Satayev B, Beissegul A, Kholbekov A, Dzhiyanmuratova G, Amirbay A. Availability-Aware Multitask Learning for Robust Clinical Prediction from Incomplete Electronic Health Records. Computers 2026;15(10):723 View
- Shen Y, Liu Y, Dong C, Pal S, Yang Y, Shen J. Data sparsity in pervasive computing and human–machine interaction: a survey of sources, structures, and remedies. CCF Transactions on Pervasive Computing and Interaction 2026 View
- Leon M, Ruaengsri C, He H, Pelletier G, Flores M, Bethencourt D, Shudo Y. National Evaluation of the Updated ISHLT Early Graft Dysfunction Framework in Adult Heart Transplantation: Diagnostic Migration, Attrition, and Prognostic Implications. Transplantation 2026 View
Conference Proceedings
- Mohamed S. 2026 International Conference on Circuit, Systems and Communication (ICCSC). Supervised Binary Label Imputation via Correlated Features and Logistic Regression View
- Panghe A, Tassy L, Sun C, Protopopescu C, Urena R. 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS). Benchmark Pipeline for Missing Data Imputation in Oncological Electronic Health Records View
- Kyprakis I, Kotoulas G, Manousos D, Boucharas D, Flis B, Pičulin M, Vračar P, Bosnić Z, Velicki L, Nelissen A, Maier L, Olivotto I, Jimenez-Blanco M, Edwards D, Charman S, Jakovljevic D, Filipovic N, Fotiadis D, Tsiknakis M. 2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS). From Imbalanced Cohorts to Virtual Populations: Leakage-Aware Synthetic Data Augmentation for Heart Failure Diagnosis View
