Immature granulocyte percentage for prediction of sepsis in severe burn patients: a machine leaning-based approach.

Jeon, Kibum; Lee, Nuri; Jeong, Seri; Park, Min-Jeong; Song, Wonkeun

Jeon, Kibum; Lee, Nuri; Jeong, Seri; Park, Min-Jeong; Song, Wonkeun.

Afiliação

Jeon K; Department of Laboratory Medicine, Hallym University Hangang Sacred Heart Hospital, 12 Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 150719, South Korea.
Lee N; Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 22, Singil-ro 1, Yeongdeungpo-gu, Seoul, 07440, South Korea. nurilee822@hallym.or.kr.
Jeong S; Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 22, Singil-ro 1, Yeongdeungpo-gu, Seoul, 07440, South Korea.
Park MJ; Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 22, Singil-ro 1, Yeongdeungpo-gu, Seoul, 07440, South Korea.
Song W; Department of Laboratory Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, 22, Singil-ro 1, Yeongdeungpo-gu, Seoul, 07440, South Korea.

BMC Infect Dis ; 21(1): 1258, 2021 Dec 16.

Article em En | MEDLINE | ID: mdl-34915849

Assuntos

Queimaduras; Sepse; Queimaduras/complicações; Granulócitos; Humanos; Estudos Retrospectivos; Sepse/diagnóstico

Palavras-chave

Immature granulocytes; Machine learning; Sepsis; Severe burn

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Queimaduras / Sepse Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Coréia do Sul

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