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

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作者： Timothy M,Rawson ^[1] ; Damien,Ming ^[2] ; Sally An,Gowers ^[3] ; David Me,Freeman ^[4] ; Pau,Herrero ^[5] ; Pantelis,Georgiou ^[5] ; Anthony E,Cass ^[4] ; Danny,O'Hare ^[3] ; Alison H,Holmes ^[2]

作者单位： National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, United Kingdom. Electronic address: tmr07@ic.ac.uk. ^[1] National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, United Kingdom. ^[2] Department of Bioengineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom. ^[3] Department of Chemistry, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom. ^[4] Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom. ^[5]

关键词 Biosensors Machine learning Patient and public engagement

主题词抗菌药(Anti-Bacterial Agents);传染病(Communicable Diseases);决策(Decision Making);人类(Humans);寡核苷酸类(Oligonucleotides)

DOI 10.1016/j.jinf.2018.08.005

PMID 30099085

发布时间 2022-01-29

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