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A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.
Dagdanpurev, Sumiyakhand; Abe, Shigeto; Sun, Guanghao; Nishimura, Hidekazu; Choimaa, Lodoiravsal; Hakozaki, Yukiya; Matsui, Takemi.
Affiliation
  • Dagdanpurev S; Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan; Machine Intelligence Laboratory, National University of Mongolia, Ulaanbaatar 14201, Mongolia. Electronic address: sumiyakhand-dagdanpurev@ed.tmu.ac.jp.
  • Abe S; Takasaka Clinic, Iwaki, Fukushima 973-8407, Japan.
  • Sun G; Graduate school of Informatics and Engineering, University of Electro-Communications, Tokyo 182-8585, Japan.
  • Nishimura H; Virus Research Center, Clinical Research Division, Sendai Medical Center, National Hospital Organization, Sendai 983-8520, Japan.
  • Choimaa L; Machine Intelligence Laboratory, National University of Mongolia, Ulaanbaatar 14201, Mongolia.
  • Hakozaki Y; Genkikai Yokohama Hospital, Yokohama 226-0013, Japan.
  • Matsui T; Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo 191-0065, Japan.
J Infect ; 78(5): 409-421, 2019 05.
Article in En | MEDLINE | ID: mdl-30797793
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mass Screening / Influenza, Human / Vital Signs / Machine Learning / Clinical Decision Rules Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Language: En Journal: J Infect Year: 2019 Document type: Article Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mass Screening / Influenza, Human / Vital Signs / Machine Learning / Clinical Decision Rules Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Language: En Journal: J Infect Year: 2019 Document type: Article Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM