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Article

Aickelin, Uwe, Reps, Jenna M., Siebers, Peer-Olaf and Li, Peng (2018) Using simulation to incorporate dynamic criteria into multiple criteria decision making. Journal of the Operational Research Society, 69 (7). pp. 1021-1032. ISSN 1476-9360

Weng, Stephen, Reps, Jenna M., Kai, Joe, Garibaldi, Jonathan M. and Quereshi, Nadeem (2017) Can machine-learning improve cardiovascular risk prediction using routine clinical data. PLoS ONE, 12 (4). e0174944/1- e0174944/14. ISSN 1932-6203

Vedhara, Kavita, Dawe, Karen, Miles, Jeremy N.V., Wetherell, Mark A., Cullum, Nicky, Dayan, Colin, Drake, Nicola, Price, Patricia, Tarlton, John, Weinman, John, Day, Andrew, Campbell, Rona, Reps, Jenna M. and Soria, Daniele (2016) Illness beliefs predict mortality in patients with diabetic foot ulcers. PLoS ONE, 11 (4). e0153315. ISSN 1932-6203

Reps, Jenna M., Aickelin, Uwe and Hubbard, Richard B. (2016) Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining. Computers in Biology and Medicine, 69 . pp. 61-70. ISSN 0010-4825

Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Gibson, Jack E. and Hubbard, Richard B. (2015) A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations. Journal of Biomedical Informatics, 56 . pp. 356-368. ISSN 1532-0480

Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E. and Hubbard, Richard B. (2014) Signalling paediatric side effects using an ensemble of simple study designs. Drug Safety, 37 (3). pp. 163-170. ISSN 0114-5916

Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E. and Hubbard, Richard B. (2014) A novel semi-supervised algorithm for rare prescription side effect discovery. IEEE Journal of Biomedical and Health Informatics, 18 (2). pp. 537-547. ISSN 2168-2194

Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E. and Hubbard, Richard B. (2013) Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Computing, 17 (12). pp. 2381-2397. ISSN 1432-7643

Conference or Workshop Item

Reps, Jenna M. and Aickelin, Uwe (2015) Identifying candidate risk factors for prescription drug side effects using causal contrast set mining. In: Health Information Science (4th International Conference, HIS 2015, Melbourne, Australia, May 28-30), 28-30 May 2015, Melbourne, Australia.

Reps, Jenna M., Aickelin, Uwe and Garibaldi, Jonathan M. (2014) Tuning a multiple classifier system for side effect discovery using genetic algorithms. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 6-11 July 2014, Beijing, China.

Reps, Jenna M. and Aickelin, Uwe (2014) Incorporating spontaneous reporting system data to aid causal inference in longitudinal healthcare data. In: IEEE International Conference on Data Mining: The Fifth Workshop on Biological Data Mining and its Applications in Healthcare (BioDM 2014), 14 Dec 2014, Shenzhen, China.

Reps, Jenna M., Aickelin, Uwe, Ma, Jiangang and Zhang, Yanchun (2014) Refining adverse drug reactions using association rule mining for electronic healthcare data. In: IEEE International Conference of Data Mining: Data Mining in Biomedical Informatics and Healthcare (DMBIH) Workshop 2014, 14 Dec 2014, Shenzhen, China.