tetano
Editor, Senior Moderator
Am J Infect Control. 2014 May;42(5):551-3. doi: 10.1016/j.ajic.2014.01.019.
Rapid screening for influenza using a multivariable logistic regression model to save labor at a clinic in Iwaki, Fukushima, Japan.
Nguyen VQ1, Abe S2, Sun G1, Matsuoka A1, Nishimura H3, Ishihara M4, Matsui T5.
Author information
Abstract
To lighten the workload of health care professionals, we conducted a clinical test of a newly developed automated infection screening system using a multivariable logistic regression model. The system was tested with 44 influenza patients and 45 healthy control subjects based on 3 vital signs: facial temperature, heart rate and respiratory rate. The system showed a high accuracy for distinguishing influenza patients from control subjects within 15 seconds.
Copyright ? 2014 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.
KEYWORDS:
Classification model, Nuclear disaster, Vital sign, Workload
PMID:
24773794
[PubMed - in process]
http://www.ncbi.nlm.nih.gov/pubmed/24773794
Rapid screening for influenza using a multivariable logistic regression model to save labor at a clinic in Iwaki, Fukushima, Japan.
Nguyen VQ1, Abe S2, Sun G1, Matsuoka A1, Nishimura H3, Ishihara M4, Matsui T5.
Author information
Abstract
To lighten the workload of health care professionals, we conducted a clinical test of a newly developed automated infection screening system using a multivariable logistic regression model. The system was tested with 44 influenza patients and 45 healthy control subjects based on 3 vital signs: facial temperature, heart rate and respiratory rate. The system showed a high accuracy for distinguishing influenza patients from control subjects within 15 seconds.
Copyright ? 2014 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.
KEYWORDS:
Classification model, Nuclear disaster, Vital sign, Workload
PMID:
24773794
[PubMed - in process]
http://www.ncbi.nlm.nih.gov/pubmed/24773794