Handwashing quality assessment via deep learning: a modelling study for monitoring compliance and standards in hospitals and communities-Reference-Cited by-同舟云学术

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Handwashing quality assessment via deep learning: a modelling study for monitoring compliance and standards in hospitals and communities

Published:2022-08 Issue:3 Volume:2 Page:152-160
ISSN:2667-1026
Container-title:Intelligent Medicine
language:en
Short-container-title:Intelligent Medicine

Author:

Wang Ting,Xia Jun,Wu Tianyi,Ni Huanqi,Long Erping,Li Ji-Peng Olivia^ORCID,Zhao Lanqin^ORCID,Chen Ruoxi,Wang Ruixin,Xu Yanwu,Huang Kai,Lin Haotian^ORCID

Publisher

Elsevier BV

Reference35 articles.

1. High Rates of Community and Hospital Acquired Infections in Patients with Cellular Immunodeficiencies;Hanisch;J Clin Immunol,2018

2. Effects of water quality, sanitation, handwashing, and nutritional interventions on diarrhoea and child growth in rural Kenya: a cluster-randomised controlled trial;Null;Lancet Glob health,2018

3. Hand Hygiene Gaps Identified;Kuehn;JAMA,2020

4. Ignaz Semmelweis and the birth of infection control;Best;Qual Saf Health Care,2004

5. WHO International Health Regulations Emergency Committee for the COVID-19 outbreak;Jee;Epidemiol Health,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ResMFuse-Net: Residual-based multilevel fused network with spatial–temporal features for hand hygiene monitoring;Applied Intelligence;2024-02

2. Ordinary differential equation based neural network coupled with random forest in the quality assessment of hand hygiene processes;Applied Soft Computing;2022-11

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