Explainable prediction of acute myocardial infarction using machine learning and shapley values L Ibrahim, M Mesinovic, KW Yang, MA Eid IEEE Access 8, 210410-210417, 2020 | 96 | 2020 |
beta-VAE reproducibility: Challenges and extensions M Fil, M Mesinovic, M Morris, J Wildberger arXiv preprint arXiv:2112.14278, 2021 | 12 | 2021 |
Multi-label Neural Model for Prediction of Myocardial Infarction Complications with Resampling and Explainability M Mesinovic, KW Yang 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | 4 | 2022 |
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities M Mesinovic, P Watkinson, T Zhu arXiv preprint arXiv:2308.08407, 2023 | 3 | 2023 |
Explainability and the Law: Needs and Requirements M Mesinovic Available at SSRN 4808607, 2024 | 1 | 2024 |
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients M Mesinovic, P Watkinson, T Zhu ICLR Trustworthy Machine Learning for Healthcare 2023, 2023 | 1 | 2023 |
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods M Mesinovic, XC Wong, GS Rajahram, BW Citarella, KM Peariasamy, ... Scientific reports 14 (1), 16387, 2024 | | 2024 |
DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU M Mesinovic, P Watkinson, T Zhu NeurIPS ML4H 2023, 2023 | | 2023 |