Building artificial intelligence and machine learning models : a primer for emergency physicians.

Ramlakhan, Shammi L; Saatchi, Reza; Sabir, Lisa; Ventour, Dale; Shobayo, Olamilekan; Hughes, Ruby; Singh, Yardesh

Ramlakhan, Shammi L; Saatchi, Reza; Sabir, Lisa; Ventour, Dale; Shobayo, Olamilekan; Hughes, Ruby; Singh, Yardesh.

Afiliación

Ramlakhan SL; Emergency Department, Sheffield Children's NHS Foundation Trust, Sheffield, UK sramlakhan@nhs.net.
Saatchi R; Electronics & Computer Engineering Research Institute, Sheffield Hallam University, Sheffield, UK.
Sabir L; Emergency Department, Sheffield Children's NHS Foundation Trust, Sheffield, UK.
Ventour D; Faculty of Medical Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago.
Shobayo O; Electronics & Computer Engineering Research Institute, Sheffield Hallam University, Sheffield, UK.
Hughes R; Advanced Forming Research Centre, University of Strathclyde, Sheffield, UK.
Singh Y; Faculty of Medical Sciences, The University of the West Indies, St Augustine, Trinidad and Tobago.

Emerg Med J ; 39(5): e1, 2022 May.

Article en En | MEDLINE | ID: mdl-35241439

Asunto(s)

Inteligencia Artificial; Médicos; Atención a la Salud; Humanos; Aprendizaje Automático

Palabras clave

methods; research design; statistics

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos / Inteligencia Artificial Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Emerg Med J Asunto de la revista: MEDICINA DE EMERGENCIA Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

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