An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method.

Journal: The Journal of infection

Published Date: Dec 23, 2014

OBJECTIVES: To classify higher-risk influenza patients within 10 s, we developed an infectious disease and fever screening radar system.

Guanghao Sun

Graduate School of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan. Electronic address: sun-guanghao@ed.tmu.ac.jp.
Takemi Matsui

Graduate School of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan. Electronic address: tmatsui@tmu.ac.jp.
Yukiya Hakozaki

Department of Internal Medicine, Japan Self-Defense Forces Central Hospital, 1-2-24 Ikejiri, Setagaya, Tokyo 154-0001, Japan.
Shigeto Abe

Takasaka Clinic, 172-21 Kanesaka, Uchigomiya, Iwaki, Fukushima 973-8407, Japan.

Aged Biosensing Techniques Female Fever Heart Rate Humans Influenza, Human Japan Male Mass Screening Middle Aged Neural Networks, Computer Oximetry Radar Respiratory Rate Sensitivity and Specificity Thermography

View on PubMed Access via DOI PubMed (25541528)