 | 2008 |
|---|
| 8 |       | 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) |
| 2006 |
|---|
| 7 | | 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 |
| 6 | | 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 |
| 2005 |
|---|
| 5 | | 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 |
| 4 | | 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 |
| 2004 |
|---|
| 3 | | Hongxing He,
Graham J. Williams,
Jie Chen,
Simon Hawkins,
Chris Kelman:
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences.
DaWaK 2004: 199-208 |
| 2003 |
|---|
| 2 | | 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 |
| 2002 |
|---|
| 1 | | 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 |
