Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Characterization of Diseases Based on Phenotypic Information Through Knowledge Extraction using Public Sources (GII-GRIN-SCIE (GGS) Conference Rating: B)
Año:2019
Áreas de investigación
  • Ciencias naturales y ciencias de la salud,
  • Ingenierías
Datos
Descripción
Despite the huge findings made by the study of the behaviour of diseases, there are currently many non-cure or non-treatment diseases and only some of their symptoms can be beaten. Understanding how the diseases behave implies a complex analysis that together with the new technologies provide researchers with more calculation and observational capabilities, as well as novel approaches that allow us to observe how the diseases behave and relate in different environments with distinct factors. Current research aims to find new ways of characterizing the diseases based on phenotypic manifestations using knowledge extraction techniques from public sources. With the characterization of the diseases, a better understanding about the diseases and how similar they are can be achieved, leading for example to find new drugs that can be applied to different diseases. In order to carry out the present research we have made use of our own dataset of symptoms and diseases developed using an approach that allows us to generate phenotypic knowledge from the extraction of medical information from several data sources.
Internacional
Si
Nombre congreso
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
2372-9198
DOI
10.1109/CBMS.2019.00124
Fecha inicio congreso
Fecha fin congreso
Desde la página
596
Hasta la página
599
Título de las actas
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Eduardo Pantaleón García Del Valle (UPM)
  • Autor: Gerardo Lagunes García (UPM)
  • Autor: Massimiliano Zanin Zanin (UPM)
  • Autor: Alejandro Rodriguez Gonzalez (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
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  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
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