Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain.

Tighe, Patrick J; Harle, Christopher A; Hurley, Robert W; Aytug, Haldun; Boezaart, Andre P; Fillingim, Roger B

Tighe, Patrick J; Harle, Christopher A; Hurley, Robert W; Aytug, Haldun; Boezaart, Andre P; Fillingim, Roger B.

Afiliação

Tighe PJ; Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.
Harle CA; Department of Health Services Research, Management and Policy, College of Public Health and Health Professions, Gainesville, Florida, USA.
Hurley RW; Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.
Aytug H; Department of Information Systems and Operations Management, Warrington College of Business Administration, Gainesville, Florida, USA.
Boezaart AP; Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.
Fillingim RB; Department of Orthopaedic Surgery and Rehabilitation, University of Florida College of Medicine, Gainesville, Florida, USA.

Pain Med ; 16(7): 1386-401, 2015 Jul.

Article em En | MEDLINE | ID: mdl-26031220

Assuntos

Algoritmos; Aprendizado de Máquina; Dor Pós-Operatória/diagnóstico; Árvores de Decisões; Humanos; Modelos Logísticos; Redes Neurais de Computação; Curva ROC; Estudos Retrospectivos

Palavras-chave

Algorithm; Machine Learning; Pain Prediction; Postoperative Pain

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor Pós-Operatória / Algoritmos / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Pain Med Assunto da revista: NEUROLOGIA / PSICOFISIOLOGIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos

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