User centered design to incorporate predictive models for type 2 Diabetes screening and management into professional decision support tools: preliminary results

Fico, Giuseppe ORCID: https://orcid.org/0000-0003-1551-4613, Hernández González, Liss, Cancela González, Jorge and Arredondo Waldmeyer, María Teresa ORCID: https://orcid.org/0000-0003-3113-3976 (2015). User centered design to incorporate predictive models for type 2 Diabetes screening and management into professional decision support tools: preliminary results. En: "World Congress on Medical Physics and Biomedical Engineering", 07/06/2014 - 12/06/2014, Toronto, Canada. pp. 1389-1392. https://doi.org/10.1007/978-3-319-19387-8_338.

Descripción

Título: User centered design to incorporate predictive models for type 2 Diabetes screening and management into professional decision support tools: preliminary results
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: World Congress on Medical Physics and Biomedical Engineering
Fechas del Evento: 07/06/2014 - 12/06/2014
Lugar del Evento: Toronto, Canada
Título del Libro: World Congress on Medical Physics & Biomedical Engineering
Fecha: 2015
Materias:
ODS:
Palabras Clave Informales: User Centered Design, Predictive Modelling and Data Mining, Diabetes Screening and Risk Stratification, Decision Support Tools
Escuela: Centro de Tecnología Biomédica (CTB) (UPM)
Departamento: Tecnología Fotónica y Bioingeniería
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Type 2 Diabetes screening and risk stratification tools could benefit from the incorporation of predictive systems based on computer modelling. The adoption of User Centered Design techniques is fundamental in order to integrate these systems in an effective and successful way. The work presented in this paper describe the methodologies used in the context of a multidisciplinary research project and provides an overview of the preliminary results. Keywords? User Centered Design, Predictive Modelling and Data Mining, Diabetes Screening and Risk Stratification, Decision Support Tools.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
FP7
600914
MOSAIC
Medtronic Iberica SA
MOdels and Simulation techniques for discovering diAbetes Influence faCtors

Más información

ID de Registro: 42040
Identificador DC: https://oa.upm.es/42040/
Identificador OAI: oai:oa.upm.es:42040
Identificador DOI: 10.1007/978-3-319-19387-8_338
Depositado por: Memoria Investigacion
Depositado el: 09 May 2017 14:48
Ultima Modificación: 05 Mar 2023 08:21