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Search results (13)

« Back to Publications

Clinical XAI: A Tutorial on Concepts, Methods, and Modalities from Linear Models to LLMs

Mesinovic M. and Zhu T., (2026), ACM Computing Surveys

Machine learning to improve analysis of disability in electronic health records: an untapped opportunity for health inequities research.

Rotenberg S. et al, (2026), Disability and health journal, 19

DySurv: dynamic deep learning model for survival analysis with conditional variational inference.

Mesinovic M. et al, (2026), Journal of the American Medical Informatics Association : JAMIA, 33, 112 - 122

RETRACTED ARTICLE: DynaGraph: interpretable dynamic graph learning for temporal electronic health records.

Mesinovic M. et al, (2026), NPJ digital medicine, 9

Foundation models enable wearable signal screening for cardiovascular disease among people living with HIV.

Mesinovic M. et al, (2026), Communications medicine, 6

Foundation model embeddings enable cardiovascular screening for people living with HIV in Vietnam using wearable signals

Mesinovic M. et al, (2025)

Explainability in the age of large language models for healthcare.

Mesinovic M. et al, (2025), Communications engineering, 4

Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data.

Mesinovic M. et al, (2025), Scientific reports, 15

Wearable devices for screening of cardiovascular disease in people living with HIV in resource-limited settings: a pilot study (Preprint)

Vo TL. et al, (2025)

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.

Mesinovic M. et al, (2024), Scientific reports, 14

Explainability and the Law: Needs and Requirements

Mesinovic M., (2024)

Multi-label Neural Model for Prediction of Myocardial Infarction Complications with Resampling and Explainability

Mesinovic M. and Yang KW., (2022), Bhi Bsn 2022 IEEE EMBS International Conference on Biomedical and Health Informatics and IEEE EMBS International Conference on Wearable and Implantable Body Sensor Networks Symposium Proceedings

Explainable Prediction of Acute Myocardial Infarction Using Machine Learning and Shapley Values

Ibrahim L. et al, (2020), IEEE Access, 8, 210410 - 210417