Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19.

Baik, Seung Min; Hong, Kyung Sook; Park, Dong Jin

Baik, Seung Min; Hong, Kyung Sook; Park, Dong Jin.

Afiliación

Baik SM; Division of Critical Care Medicine, Department of Surgery, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea; Department of Surgery, Korea University College of Medicine, Seoul, Korea.
Hong KS; Division of Critical Care Medicine, Department of Surgery, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea.
Park DJ; Department of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Korea. Electronic address: parkdj@catholic.ac.kr.

Clin Biochem ; 118: 110584, 2023 Aug.

Article en En | MEDLINE | ID: mdl-37211061

Asunto(s)

COVID-19; Neumonía; Humanos; COVID-19/diagnóstico; Diagnóstico Diferencial; Inteligencia Artificial; Neumonía/diagnóstico; Aprendizaje Automático; Prueba de COVID-19

Palabras clave

Artificial intelligence; Boosting model; COVID-19; Differential diagnosis; Laboratory test; Non-COVID-19 pneumonia

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía / COVID-19 Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Clin Biochem Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google