Author Search Results :: Library Catalog

1
Detecting adverse drug reactions in the general practice healthcare database by Reps, Jenna Marie

Published 2014

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2
Incorporating spontaneous reporting system data to aid causal inference in longitudinal healthcare data by Reps, Jenna M., Aickelin, Uwe

Published 2014

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3
Identifying candidate risk factors for prescription drug side effects using causal contrast set mining by Reps, Jenna M., Aickelin, Uwe

Published 2015

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4
Tuning a multiple classifier system for side effect discovery using genetic algorithms by Reps, Jenna M., Aickelin, Uwe, Garibaldi, Jonathan M.

Published 2014

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5
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining by Reps, Jenna M., Aickelin, Uwe, Hubbard, Richard B.

Published 2016

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6
Personalising mobile advertising based on users’ installed apps by Reps, Jenna, Aickelin, Uwe, Garibaldi, Jonathan M., Damski, Chris

Published 2014

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7
Refining adverse drug reactions using association rule mining for electronic healthcare data by Reps, Jenna M., Aickelin, Uwe, Ma, Jiangang, Zhang, Yanchun

Published 2014

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8
Using simulation to incorporate dynamic criteria into multiple criteria decision making by Aickelin, Uwe, Reps, Jenna M., Siebers, Peer-Olaf, Li, Peng

Published 2018

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9
Quiet in class: classification, noise and the dendritic cell algorithm by Gu, Feng, Feyereisl, Jan, Oates, Robert, Reps, Jenna, Greensmith, Julie, Aickelin, Uwe

Published 2011

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10
Can machine-learning improve cardiovascular risk prediction using routine clinical data by Weng, Stephen, Reps, Jenna M., Kai, Joe, Garibaldi, Jonathan M., Quereshi, Nadeem

Published 2017

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11
Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer by Figueredo, Grazziela P., Siebers, Peer-Olaf, Owen, Markus R., Reps, Jenna, Aickelin, Uwe

Published 2014

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12
A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Gibson, Jack E., Hubbard, Richard B.

Published 2015

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13
Attributes for causal inference in electronic healthcare databases by Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Published 2013

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14
Investigating the detection of adverse drug events in a UK general practice electronic health-care database by Reps, Jenna, Feyereisl, Jan, Garibaldi, Jonathan M., Aickelin, Uwe, Gibson, Jack E., Hubbard, Richard B.

Published 2011

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15
Comparing data-mining algorithms developed for longitudinal observational databases by Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Published 2012

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16
Discovering sequential patterns in a UK general practice database by Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Published 2012

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17
A novel semi-supervised algorithm for rare prescription side effect discovery by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Published 2014

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18
Signalling paediatric side effects using an ensemble of simple study designs by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Published 2014

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19
Comparison of algorithms that detect drug side effects using electronic healthcare databases by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Published 2013

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20
Illness beliefs predict mortality in patients with diabetic foot ulcers by 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., Soria, Daniele

Published 2016

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Search Results - Reps, Jenna

Detecting adverse drug reactions in the general practice healthcare database by Reps, Jenna Marie

Incorporating spontaneous reporting system data to aid causal inference in longitudinal healthcare data by Reps, Jenna M., Aickelin, Uwe

Identifying candidate risk factors for prescription drug side effects using causal contrast set mining by Reps, Jenna M., Aickelin, Uwe

Tuning a multiple classifier system for side effect discovery using genetic algorithms by Reps, Jenna M., Aickelin, Uwe, Garibaldi, Jonathan M.

Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining by Reps, Jenna M., Aickelin, Uwe, Hubbard, Richard B.

Personalising mobile advertising based on users’ installed apps by Reps, Jenna, Aickelin, Uwe, Garibaldi, Jonathan M., Damski, Chris

Refining adverse drug reactions using association rule mining for electronic healthcare data by Reps, Jenna M., Aickelin, Uwe, Ma, Jiangang, Zhang, Yanchun

Using simulation to incorporate dynamic criteria into multiple criteria decision making by Aickelin, Uwe, Reps, Jenna M., Siebers, Peer-Olaf, Li, Peng

Quiet in class: classification, noise and the dendritic cell algorithm by Gu, Feng, Feyereisl, Jan, Oates, Robert, Reps, Jenna, Greensmith, Julie, Aickelin, Uwe

Can machine-learning improve cardiovascular risk prediction using routine clinical data by Weng, Stephen, Reps, Jenna M., Kai, Joe, Garibaldi, Jonathan M., Quereshi, Nadeem

Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer by Figueredo, Grazziela P., Siebers, Peer-Olaf, Owen, Markus R., Reps, Jenna, Aickelin, Uwe

A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Gibson, Jack E., Hubbard, Richard B.

Attributes for causal inference in electronic healthcare databases by Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Investigating the detection of adverse drug events in a UK general practice electronic health-care database by Reps, Jenna, Feyereisl, Jan, Garibaldi, Jonathan M., Aickelin, Uwe, Gibson, Jack E., Hubbard, Richard B.

Comparing data-mining algorithms developed for longitudinal observational databases by Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Discovering sequential patterns in a UK general practice database by Reps, Jenna, Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

A novel semi-supervised algorithm for rare prescription side effect discovery by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Signalling paediatric side effects using an ensemble of simple study designs by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Comparison of algorithms that detect drug side effects using electronic healthcare databases by Reps, Jenna M., Garibaldi, Jonathan M., Aickelin, Uwe, Soria, Daniele, Gibson, Jack E., Hubbard, Richard B.

Illness beliefs predict mortality in patients with diabetic foot ulcers by 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., Soria, Daniele

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