| Title | Authors | Source | DOI | Preprint | Graphical association analysis for identifying variation in provider claims for joint replacement surgery | J. Kemp, C. Barker, N. Good, and M. Bain | Proceedings of the 19th World Congress on Medical and Health Informatics. Amsterdam, Holland: IOS Press, 2023 (accepted for docsation) | Developing an anomaly detection framework for Medicare claims | J. Kemp, C. Barker, N. Good, and M. Bain | Proceedings of ACSW 2023: Australasian Computer Science Week 2023 New York, NY, USA: Association for Computing Machinery, 2023, pp. 234-237 | https://doi.org/10.1145/3579375.3579410 | Context discovery and cost prediction for detection of anomalous medical claims, with ontology structure providing domain knowledge | J. Kemp, C. Barker, N. Good, and M. Bain | Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF . California, USA: SCITEPRESS, 2023, pp. 29-40 | https://doi.org/10.5220/0011611000003414 | Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance | J. Kemp, C. Barker, N. Good, and M. Bain | 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022, pp. 3039–3046 | https://doi.org/10.1109/BIBM55620.2022.9995541 | 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, and L. Jorm | Scientific Reports, vol. 10, 2020, pp. 1-10 | https://doi.org/10.1038/s41598-020-58053-z |
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