Research Repository

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Assessment of discharge treatment prescribed to women admitted to hospital for hyperemesis gravidarum (2018)
Journal Article
Fiaschi, L., Housley, G., Nelson-Piercy, C., Gibson, J., Raji, A., Deb, S., & Tata, L. (2019). Assessment of discharge treatment prescribed to women admitted to hospital for hyperemesis gravidarum. International Journal of Clinical Practice, 73(1), doi:10.1111/ijcp.13261

Aims: Prescribing drug treatment for the management of hyperemesis gravidarum (HG), the most severe form of nausea and vomiting in pregnancy, remains controversial. Since most manufacturers do not recommend prescribing antiemetics during pregnancy, l... Read More

Electroanalysis of neutral precursors in protic ionic liquids and synthesis of high-ionicity ionic liquids (2017)
Journal Article
Sean, G., Daniel, S., Joshua, G., Jones, R., & Walsh, D. A. (in press). Electroanalysis of neutral precursors in protic ionic liquids and synthesis of high-ionicity ionic liquids. Langmuir, 33(34), doi:10.1021/acs.langmuir.7b02294. ISSN 0743-7463

Protic ionic liquids (PILs) are ionic liquids that are formed by transferring protons from Brønsted acids to Brønsted bases. While they nominally consist entirely of ions, PILs can often behave as though they contain a significant amount of neutral... Read More

Signalling paediatric side effects using an ensemble of simple study designs (2014)
Journal Article
Reps, J. M., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2014). Signalling paediatric side effects using an ensemble of simple study designs. Drug Safety, 37(3), doi:10.1007/s40264-014-0137-z. ISSN 0114-5916

Background: Children are frequently prescribed medication `o-label', meaning there has not been sucient testing of the medication to determine its safety or eectiveness. The main reason this safety knowledge is lacking is due to ethical restrictions... Read More

Comparison of algorithms that detect drug side effects using electronic healthcare databases (2013)
Journal Article
Reps, J. M., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2013). Comparison of algorithms that detect drug side effects using electronic healthcare databases. Soft Computing, 17(12), doi:10.1007/s00500-013-1097-4. ISSN 1432-7643

The electronic healthcare databases are starting to become more readily available and are thought to have excellent potential for generating adverse drug reaction signals. The Health Improvement Network (THIN) database is an electronic healthcare dat... Read More

Attributes for causal inference in electronic healthcare databases (2013)
Conference Proceeding
Reps, J., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. (2013). Attributes for causal inference in electronic healthcare databases

Side effects of prescription drugs present a serious issue. Existing algorithms that detect side effects generally require further analysis to confirm causality. In this paper we investigate attributes based on the Bradford-Hill causality criteria... Read More

Comparing data-mining algorithms developed for longitudinal observational databases
Conference Proceeding
Reps, J., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. Comparing data-mining algorithms developed for longitudinal observational databases

Longitudinal observational databases have become a recent interest in the post marketing drug surveillance community due to their ability of presenting a new perspective for detecting negative side effects. Algorithms mining longitudinal observation... Read More

Discovering sequential patterns in a UK general practice database
Conference Proceeding
Reps, J., Garibaldi, J. M., Aickelin, U., Soria, D., Gibson, J. E., & Hubbard, R. B. Discovering sequential patterns in a UK general practice database

The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses. These patterns may be able to predict illnesses that a patient is likely to develop, allowi... Read More

Investigating the detection of adverse drug events in a UK general practice electronic health-care database
Conference Proceeding
Reps, J., Feyereisl, J., Garibaldi, J. M., Aickelin, U., Gibson, J. E., & Hubbard, R. B. Investigating the detection of adverse drug events in a UK general practice electronic health-care database

Data-mining techniques have frequently been developed for Spontaneous reporting databases. These techniques aim to find adverse drug events accurately and efficiently. Spontaneous reporting databases are prone to missing information,under reporting... Read More