Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department.

Chiu, I-Min; Cheng, Chi-Yung; Zeng, Wun-Huei; Huang, Ying-Hsien; Lin, Chun-Hung Richard

Chiu, I-Min; Cheng, Chi-Yung; Zeng, Wun-Huei; Huang, Ying-Hsien; Lin, Chun-Hung Richard.

Afiliación

Chiu IM; Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan.
Cheng CY; Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 804, Taiwan.
Zeng WH; Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan.
Huang YH; Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 804, Taiwan.
Lin CR; Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 804, Taiwan.

J Clin Med ; 10(9)2021 Apr 26.

Article en En | MEDLINE | ID: mdl-33925973

Palabras clave

emergency department; invasive bacterial infection; machine learning; young infant fever

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2021 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza

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