Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department

10.1186/s13756-020-00825-3

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Main Authors: Wong, J.G., Aung, A.-H., Lian, W., Lye, D.C., Ooi, C.-K., Chow, A.
Other Authors: MEDICINE
Format: Article
Published: BioMed Central Ltd 2021
Subjects:
ED
Online Access:https://scholarbank.nus.edu.sg/handle/10635/199301
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1993012024-11-09T13:41:10Z Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department Wong, J.G. Aung, A.-H. Lian, W. Lye, D.C. Ooi, C.-K. Chow, A. MEDICINE SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Adult Antibiotic prescribing ED Machine learning Prediction model URTI 10.1186/s13756-020-00825-3 Antimicrobial Resistance and Infection Control 9 1 171 2021-08-25T14:06:28Z 2021-08-25T14:06:28Z 2020 Article Wong, J.G., Aung, A.-H., Lian, W., Lye, D.C., Ooi, C.-K., Chow, A. (2020). Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department. Antimicrobial Resistance and Infection Control 9 (1) : 171. ScholarBank@NUS Repository. https://doi.org/10.1186/s13756-020-00825-3 20472994 https://scholarbank.nus.edu.sg/handle/10635/199301 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ BioMed Central Ltd Scopus OA2020
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Adult
Antibiotic prescribing
ED
Machine learning
Prediction model
URTI
spellingShingle Adult
Antibiotic prescribing
ED
Machine learning
Prediction model
URTI
Wong, J.G.
Aung, A.-H.
Lian, W.
Lye, D.C.
Ooi, C.-K.
Chow, A.
Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department
description 10.1186/s13756-020-00825-3
author2 MEDICINE
author_facet MEDICINE
Wong, J.G.
Aung, A.-H.
Lian, W.
Lye, D.C.
Ooi, C.-K.
Chow, A.
format Article
author Wong, J.G.
Aung, A.-H.
Lian, W.
Lye, D.C.
Ooi, C.-K.
Chow, A.
author_sort Wong, J.G.
title Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department
title_short Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department
title_full Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department
title_fullStr Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department
title_full_unstemmed Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department
title_sort risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department
publisher BioMed Central Ltd
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/199301
_version_ 1821196835538075648