Validation of a Machine Learning Model for Early Shock Detection.

Pinevich, Yuliya; Amos-Binks, Adam; Burris, Christie S; Rule, Gregory; Bogojevic, Marija; Flint, Isaac; Pickering, Brian W; Nemeth, Christopher P; Herasevich, Vitaly

Pinevich, Yuliya; Amos-Binks, Adam; Burris, Christie S; Rule, Gregory; Bogojevic, Marija; Flint, Isaac; Pickering, Brian W; Nemeth, Christopher P; Herasevich, Vitaly.

Afiliación

Pinevich Y; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Amos-Binks A; Applied Research Associates, Albuquerque, NM 87110, USA.
Burris CS; Applied Research Associates, Albuquerque, NM 87110, USA.
Rule G; Applied Research Associates, Albuquerque, NM 87110, USA.
Bogojevic M; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA.
Flint I; Applied Research Associates, Albuquerque, NM 87110, USA.
Pickering BW; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Nemeth CP; Applied Research Associates, Albuquerque, NM 87110, USA.
Herasevich V; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN 55905, USA.

Mil Med ; 187(1-2): 82-88, 2022 01 04.

Article en En | MEDLINE | ID: mdl-34056656

Asunto(s)

Aprendizaje Automático; Signos Vitales; Adolescente; Humanos; Unidades de Cuidados Intensivos; Estudios Prospectivos; Curva ROC; Estudios Retrospectivos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Signos Vitales / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Humans Idioma: En Revista: Mil Med Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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