Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alvin Romero"'
Autor:
Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, James H MacCabe, Richard J B Dobson, Zina M Ibrahim
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243437 (2020)
ObjectiveMining the data contained within Electronic Health Records (EHRs) can potentially generate a greater understanding of medication effects in the real world, complementing what we know from Randomised control trials (RCTs). We Propose a text m
Externí odkaz:
https://doaj.org/article/173a618803c84fd89e956eb63e657d56
Autor:
Ehtesham Iqbal, Robbie Mallah, Daniel Rhodes, Honghan Wu, Alvin Romero, Nynn Chang, Olubanke Dzahini, Chandra Pandey, Matthew Broadbent, Robert Stewart, Richard J B Dobson, Zina M Ibrahim
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187121 (2017)
Adverse drug events (ADEs) are unintended responses to medical treatment. They can greatly affect a patient's quality of life and present a substantial burden on healthcare. Although Electronic health records (EHRs) document a wealth of information r
Externí odkaz:
https://doaj.org/article/3b550a2bf4a74fbea2944a1fb358eabd
Autor:
Risha Govind, Nomi Werbeloff, Ehtesham Iqbal, Chi Hun Kim, Robert Stewart, Tanya Smith, Matthew Broadbent, Richard Dobson, Alvin Romero, Zina M. Ibrahim, Olubanke Dzahini, James H. MacCabe
Publikováno v:
PLoS ONE, Vol 15, Iss 12, p e0243437 (2020)
PLoS ONE
PLoS ONE
Objective Mining the data contained within Electronic Health Records (EHRs) can potentially generate a greater understanding of medication effects in the real world, complementing what we know from Randomised control trials (RCTs). We Propose a text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e19038ef8bbadedb87f973f788c8ecf
http://arxiv.org/abs/2001.09698
http://arxiv.org/abs/2001.09698
Autor:
Robert Stewart, Matthew Broadbent, Robbie Mallah, Richard Dobson, Daniel R. Rhodes, Olubanke Dzahini, Chandra Pandey, Nynn Chang, Honghan Wu, Ehtesham Iqbal, Alvin Romero, Zina M. Ibrahim
Publikováno v:
PLoS ONE
Iqbal, E, Mallah, R, Rhodes, D, Wu, H, Romero, A, Chang, N, Dzahini, O, Pandey, C, Broadbent, M, Stewart, R, Dobson, R J B, Ibrahim, Z M & Groza, T (ed.) 2017, ' ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records ', PL o S One, vol. 12, no. 11, pp. e0187121 . https://doi.org/10.1371/journal.pone.0187121
Iqbal, E, Mallah, R, Rhodes, D, Wu, H, Romero, A, Chang, N, Dzahini, O, Pandey, C, Broadbent, M, Stewart, R, Dobson, R J B & Ibrahim, Z M 2017, ' ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records ', PLoS ONE, vol. 12, no. 11, e0187121 . https://doi.org/10.1371/journal.pone.0187121
PLoS ONE, Vol 12, Iss 11, p e0187121 (2017)
Iqbal, E, Mallah, R, Rhodes, D, Wu, H, Romero, A, Chang, N, Dzahini, O, Pandey, C, Broadbent, M, Stewart, R, Dobson, R J B, Ibrahim, Z M & Groza, T (ed.) 2017, ' ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records ', PL o S One, vol. 12, no. 11, pp. e0187121 . https://doi.org/10.1371/journal.pone.0187121
Iqbal, E, Mallah, R, Rhodes, D, Wu, H, Romero, A, Chang, N, Dzahini, O, Pandey, C, Broadbent, M, Stewart, R, Dobson, R J B & Ibrahim, Z M 2017, ' ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records ', PLoS ONE, vol. 12, no. 11, e0187121 . https://doi.org/10.1371/journal.pone.0187121
PLoS ONE, Vol 12, Iss 11, p e0187121 (2017)
Adverse drug events (ADEs) are unintended responses to medical treatment. They can greatly affect a patient’s quality of life and present a substantial burden on healthcare. Although Electronic health records (EHRs) document a wealth of information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b118ed85502b74ada21a6701ae1401e8
http://europepmc.org/articles/PMC5679515
http://europepmc.org/articles/PMC5679515
Autor:
Isabella Badini, John Hodsoll, Fruhling Rijsdijk, Alice M. Gregory, Annemarie I. Luik, Robert Keers, Colin A. Espie, Sarah Derveeuw, Dan Denis, Alvin Romero, Helena M. S. Zavos, Thalia C. Eley
Publikováno v:
Denis, D, Eley, T C, Rijsdijk, F, Zavos, H M S, Keers, R, Espie, C A, Luik, A I, Badini, I, Derveeuw, S, Romero, A, Hodsoll, J & Gregory, A M 2017, ' Sleep Treatment Outcome Predictors (STOP) Pilot Study : A protocol for a randomised controlled trial examining predictors of change of insomnia symptoms and associated traits following cognitive-behavioural therapy for insomnia in an unselected sample ', BMJ Open, vol. 7, no. 11, e017177 . https://doi.org/10.1136/bmjopen-2017-017177
BMJ Open
BMJ OPEN
BMJ Open
BMJ OPEN
IntroductionCognitive–behavioural therapy for insomnia (CBT-I) leads to insomnia symptom improvements in a substantial proportion of patients. However, not everyone responds well to this treatment, and it is unclear what determines individual diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dfe45dc39895b46afdc276b5488d447
https://doi.org/10.1136/bmjopen-2017-017177
https://doi.org/10.1136/bmjopen-2017-017177