Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.

Siebelt, Michiel; Das, Dirk; Van Den Moosdijk, Amber; Warren, Tristan; Van Der Putten, Peter; Van Der Weegen, Walter

Siebelt, Michiel; Das, Dirk; Van Den Moosdijk, Amber; Warren, Tristan; Van Der Putten, Peter; Van Der Weegen, Walter.

Afiliação

Siebelt M; Department of Orthopedic Surgery, St Anna Hospital, Geldrop.
Das D; Department of Orthopedic Surgery, St Anna Hospital, Geldrop.
Van Den Moosdijk A; Department of Orthopedic Surgery, St Anna Hospital, Geldrop.
Warren T; Department of Orthopedic Surgery, St Anna Hospital, Geldrop.
Van Der Putten P; Leiden Institute of Advanced Computer Science, Leiden University Leiden, The Netherlands.
Van Der Weegen W; Department of Orthopedic Surgery, St Anna Hospital, Geldrop.

Acta Orthop ; 92(3): 254-257, 2021 06.

Article em En | MEDLINE | ID: mdl-33573429

Assuntos

Bursite/diagnóstico; Serviços Médicos de Emergência; Aprendizado de Máquina; Anamnese; Osteoartrite do Quadril/diagnóstico; Tendinopatia/diagnóstico; Idoso; Diagnóstico Diferencial; Feminino; Humanos; Masculino; Pessoa de Meia-Idade; Valor Preditivo dos Testes; Curva ROC; Inquéritos e Questionários

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bursite / Osteoartrite do Quadril / Serviços Médicos de Emergência / Tendinopatia / Aprendizado de Máquina / Anamnese Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Acta Orthop Ano de publicação: 2021 Tipo de documento: Article

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