Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning. | Annu Int Conf IEEE Eng Med Biol Soc;2021: 2472-2475, 2021 11. | MEDLINE

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Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

Shakeri, Esmaeil; Mohammed, Emad A; Shakeri H A, Zahra; Far, Behrouz.

Annu Int Conf IEEE Eng Med Biol Soc ; 2021: 2472-2475, 2021 11.

Article in En | MEDLINE | ID: mdl-34891780

Subject(s)

Machine Learning; Sepsis; Early Diagnosis; Electronic Health Records; Hospitalization; Humans; Sepsis/diagnosis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sepsis / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2021 Document type: Article Country of publication: United States

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sepsis / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2021 Document type: Article Country of publication: United States