Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance. - James Kemp; Christopher Barker; Norm Good; Michael Bain 001 (BIBM, 2022)

Developing an anomaly detection framework for Medicare claims. - James Kemp; Christopher Barker; Norm Good; Michael Bain 001 (ACSW, 2023)

Context Discovery and Cost Prediction for Detection of Anomalous Medical Claims, with Ontology Structure Providing Domain Knowledge. - James Kemp; Christopher Barker; Norm Good; Michael Bain 001 (HEALTHINF, 2023)

Graphical Association Analysis for Identifying Variation in Provider Claims for Joint Replacement Surgery. - James Kemp; Christopher Barker; Norm Good; Michael Bain 001 (MedInfo, 2023)

Unsupervised learning for anomaly detection in Australian medical payment data. - James Kemp (2023)