Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis.

Bremer, Vincent; Becker, Dennis; Kolovos, Spyros; Funk, Burkhardt; van Breda, Ward; Hoogendoorn, Mark; Riper, Heleen

Bremer, Vincent; Becker, Dennis; Kolovos, Spyros; Funk, Burkhardt; van Breda, Ward; Hoogendoorn, Mark; Riper, Heleen.

Bremer V; Institute of Information Systems, Leuphana University, Lüneburg, Germany.
Becker D; Institute of Information Systems, Leuphana University, Lüneburg, Germany.
Kolovos S; Department of Clinical, Neuro- & Developmental Psychology, Vrije University, Amsterdam, Netherlands.
Funk B; Department of Health Sciences, Vrije University, Amsterdam, Netherlands.
van Breda W; Institute of Information Systems, Leuphana University, Lüneburg, Germany.
Hoogendoorn M; Department of Computer Science, Vrije University, Amsterdam, Netherlands.
Riper H; Department of Computer Science, Vrije University, Amsterdam, Netherlands.

J Med Internet Res ; 20(8): e10275, 2018 08 21.

Article en En | MEDLINE | ID: mdl-30131318

Asunto(s)

Análisis Costo-Beneficio/métodos; Costos de la Atención en Salud/tendencias; Aprendizaje Automático/tendencias; Femenino; Humanos; Masculino; Encuestas y Cuestionarios; Resultado del Tratamiento

Palabras clave

cost effectiveness; machine learning; mental health; treatment recommendation

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Costos de la Atención en Salud / Análisis Costo-Beneficio / Aprendizaje Automático Tipo de estudio: Clinical_trials / Guideline / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Año: 2018 Tipo del documento: Article

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