Chris Kelman

Jie Chen, Huidong Jin, Hongxing He, Damien McAullay, Christine M. O'Keefe, Ross Sparks, Chris Kelman: Mining consequence events in temporal health data. Intell. Data Anal. 14(2): 245-261 (2010)

Huidong Jin, Jie Chen, Hongxing He, Chris Kelman, Damien McAullay, Christine M. O'Keefe: Signaling Potential Adverse Drug Reactions from Administrative Health Databases. IEEE Trans. Knowl. Data Eng. 22(6): 839-853 (2010)

Huidong Jin, Jie Chen, Hongxing He, Graham J. Williams, Chris Kelman, Christine M. O'Keefe: Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. IEEE Transactions on Information Technology in Biomedicine 12(4): 488-500 (2008)

Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman: Identifying Risk Groups Associated with Colorectal Cancer. Selected Papers from AusDM 2006: 260-272

Huidong Jin, Jie Chen, Chris Kelman, Hongxing He, Damien McAullay, Christine M. O'Keefe: Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases. PAKDD 2006: 867-876

Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman: Mining risk patterns in medical data. KDD 2005: 770-775

Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman: Representing Association Classification Rules Mined from Health Data. KES (3) 2005: 1225-1231

Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman: Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. DaWaK 2004: 199-208

Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Williams, Simon Hawkins, Chris Kelman: Association Rule Discovery with Unbalanced Class Distributions. Australian Conference on Artificial Intelligence 2003: 221-232

Graham J. Williams, Rohan A. Baxter, Chris Kelman, Chris P. Rainsford, Hongxing He, Lifang Gu, Deanne Vickers, Simon Hawkins: Estimating Episodes of Care Using Linked Medical Claims Data. Australian Joint Conference on Artificial Intelligence 2002: 660-671