Memorias de investigación
Ponencias en congresos:
Supporting patient screening to identify suitable clinical trials.
Año:2014
Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
To support the efficient execution of post-genomic multi-centric clinical trials in breast cancer we propose a solution that streamlines the assessment of the eligibility of patients for available trials. The assessment of the eligibility of a patient for a trial requires evaluating whether each eligibility criterion is satisfied and is often a time consuming and manual task. The main focus in the literature has been on proposing different methods for modelling and formalizing the eligibility criteria. However the current adoption of these approaches in clinical care is limited. Less effort has been dedicated to the automatic matching of criteria to the patient data managed in clinical care. We address both aspects and propose a scalable, efficient and pragmatic patient screening solution enabling automatic evaluation of eligibility of patients for a relevant set of trials. This covers the flexible formalization of criteria and of other relevant trial metadata and the efficient management of these representations.
Internacional
Si
Nombre congreso
Stud Health Technol Inform
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
978-1-61499-431-2
DOI
10.3233/978-1-61499-432-9-823
Fecha inicio congreso
31/08/2014
Fecha fin congreso
03/09/2014
Desde la página
823
Hasta la página
823
Título de las actas
Studies in Health Technology and Informatics
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: David Perez Del Rey UPM
  • Autor: Raul Alonso Calvo UPM
  • Autor: Anca BUCUR
  • Autor: Jasper VAN LEEUWEN
  • Autor: Njin-Zu CHEN
  • Autor: Brecht CLAERHOUT
  • Autor: Kristof DE SCHEPPER
  • Autor: Lina PUGLIANO
  • Autor: Kamal SAINI
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software