Search Results - Reps, Jenna M.

  • Showing 1 - 12 results of 12
Refine Results
  1. 1
    Incorporating spontaneous reporting system data to aid causal inference in longitudinal healthcare data

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

    Published 2014
    Get full text
  2. 2
    Identifying candidate risk factors for prescription drug side effects using causal contrast set mining

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

    Published 2015
    Get full text
  3. 3
    Tuning a multiple classifier system for side effect discovery using genetic algorithms

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

    Published 2014
    Get full text
  4. 4
    Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining

    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
    Get full text
  5. 5
    Refining adverse drug reactions using association rule mining for electronic healthcare data

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

    Published 2014
    Get full text
  6. 6
    Using simulation to incorporate dynamic criteria into multiple criteria decision making

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

    Published 2018
    Get full text
  7. 7
    Can machine-learning improve cardiovascular risk prediction using routine clinical data

    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
    Get full text
  8. 8
    A supervised adverse drug reaction signalling framework imitating Bradford Hill’s causality considerations

    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
    Get full text
  9. 9
    A novel semi-supervised algorithm for rare prescription side effect discovery

    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
    Get full text
  10. 10
    Signalling paediatric side effects using an ensemble of simple study designs

    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
    Get full text
  11. 11
    Comparison of algorithms that detect drug side effects using electronic healthcare databases

    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
    Get full text
  12. 12
    Illness beliefs predict mortality in patients with diabetic foot ulcers

    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
    Get full text

Search Tools: