| Benchmarking deep learning architectures for predicting readmission to the ICU and describing patients-at-risk S Barbieri, J Kemp, O Perez-Concha, S Kotwal, M Gallagher, A Ritchie, ... Scientific reports 10 (1), 1-10, 2020 | 76 | 2020 |
| Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance J Kemp, C Barker, N Good, M Bain 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 3 | 2022 |
| Context discovery and cost prediction for detection of anomalous medical claims, with ontology structure providing domain knowledge J Kemp, C Barker, N Good, M Bain Proceedings of the 16th International Joint Conference on Biomedical …, 2023 | 2 | 2023 |
| Graphical association analysis for identifying variation in provider claims for joint replacement surgery J Kemp, C Barker, N Good, M Bain Proceedings of the 19th World Congress on Medical and Health Informatics, 2024 | 1 | 2024 |
| Developing an anomaly detection framework for Medicare claims J Kemp, C Barker, N Good, M Bain Proceedings of ACSW 2023: Australasian Computer Science Week 2023, 234-237, 2023 | 1 | 2023 |
| Unsupervised learning for anomaly detection in Australian medical payment data J Kemp UNSW Sydney, 2023 | | 2023 |
