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Red social de enfermedades raras

Authors: Torralba Ruiz, Carlos;

Red social de enfermedades raras

Abstract

Los pacientes y los familiares con enfermedades raras necesitan estar conectados con otras personas en su misma situación. El problema es que este tipo de enfermedades tiene una incidencia muy baja (cientos o miles de personas en el mundo), lo que hace que no exista un sistema para unir a estas personas entre sí. El objetivo de este proyecto es desarrollar una red social que permita conectar pacientes, facultativos y asociaciones y así proporcionar un sitio donde compartir apoyo y acceso a tratamientos.

Country
Spain
Related Organizations
Keywords

Red social, Enfermedades raras, Ciencia de la Computación e Inteligencia Artificial, Aplicación web

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green