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Public acceptability of computer-controlled antibiotic management: an exploration of automated dosing and opportunities for implementation

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Title: Public acceptability of computer-controlled antibiotic management: an exploration of automated dosing and opportunities for implementation
Authors: Rawson, T
Ming, D
Gowers, S
Freeman, D
Herrero, P
Georgiou, P
Cass, AEG
O'Hare, D
Holmes, A
Item Type: Journal Article
Issue Date: 10-Aug-2018
Date of Acceptance: 7-Aug-2018
URI: http://hdl.handle.net/10044/1/63325
DOI: https://dx.doi.org/10.1016/j.jinf.2018.08.005
ISSN: 0163-4453
Publisher: Elsevier
Journal / Book Title: Journal of Infection
Copyright Statement: Crown Copyright © 2018 Published by Elsevier Ltd on behalf of The British Infection Association. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: National Institute for Health Research
National Institute for Health Research
National Institute for Health Research
Funder's Grant Number: II-LA-0214-20008
II-LA-0214-20008
RDA02
Keywords: Biosensors
Machine learning
Patient and public engagement
1103 Clinical Sciences
Microbiology
Publication Status: Published online
Embargo Date: 2019-08-10
Online Publication Date: 2018-08-10
Appears in Collections:Bioengineering
Chemistry
Biological and Biophysical Chemistry
Electrical and Electronic Engineering
Earth Science and Engineering
Department of Medicine
Faculty of Medicine
Faculty of Natural Sciences



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