Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics

R Geilleit; ZQ Hen; CY Chong; AP Loh; NL Pang; GM Peterson; KC (Kee Chong) Ng; A Huis; Dirk de Korne

doi:10.1016/j.jhin.2018.04.004

Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics

R Geilleit, ZQ Hen, CY Chong, AP Loh, NL Pang, GM Peterson, KC (Kee Chong) Ng, A Huis, Dirk de Korne

Health Services Management & Organisation (HSMO)

Research output: Contribution to journal › Article › Academic › peer-review

15 Citations (Scopus)

43 Downloads (Pure)

Original language	English
Pages (from-to)	1-7
Number of pages	7
Journal	Journal of Hospital Infection
DOIs	https://doi.org/10.1016/j.jhin.2018.04.004
Publication status	Published - 2018

Research programs

EMC NIHES-05-63-01 Management

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10.1016/j.jhin.2018.04.004

REPUB_106428.pdfFinal published version, 805 KBLicence: Article 25fa Dutch Copyright Act

http://hdl.handle.net/1765/106428

Cite this

@article{995b6079bb864649acbaf517cc5d5010,

title = "Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics",

author = "R Geilleit and ZQ Hen and CY Chong and AP Loh and NL Pang and GM Peterson and Ng, {KC (Kee Chong)} and A Huis and {de Korne}, Dirk",

year = "2018",

doi = "10.1016/j.jhin.2018.04.004",

language = "English",

pages = "1--7",

journal = "Journal of Hospital Infection",

issn = "0195-6701",

}

TY - JOUR

T1 - Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics

AU - Geilleit, R

AU - Hen, ZQ

AU - Chong, CY

AU - Loh, AP

AU - Pang, NL

AU - Peterson, GM

AU - Ng, KC (Kee Chong)

AU - Huis, A

AU - de Korne, Dirk

PY - 2018

Y1 - 2018

UR - https://doi.org/10.1016/j.jhin.2018.04.004

U2 - 10.1016/j.jhin.2018.04.004

DO - 10.1016/j.jhin.2018.04.004

M3 - Article

C2 - 29649558

SN - 0195-6701

SP - 1

EP - 7

JO - Journal of Hospital Infection

JF - Journal of Hospital Infection

ER -

Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics

Research programs

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