Towards a healthcare digital twin
dc.contributor.author | Angulo Bahón, Cecilio |
dc.contributor.author | Ortega Ramírez, Juan Antonio |
dc.contributor.author | Gonzalez Abril, Luis |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2019-10-30T09:44:26Z |
dc.date.issued | 2019 |
dc.identifier.citation | Angulo, C.; Ortega Ramírez, J. A.; Gonzalez-Abril, L. Towards a healthcare digital twin. A: International Conference of the Catalan Association for Artificial Intelligence. "Artificial Intelligence Research and Development vol. 319". IOS Press, 2019, p. 312-315. |
dc.identifier.isbn | 978-1-64368-014-9 |
dc.identifier.uri | http://hdl.handle.net/2117/171153 |
dc.description.abstract | The main aim of this short position paper is to introduce a proposal to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for personalised healthcare. These will be used by both kind of experts: (i) data analysts, who will design expert recommender systems and extract knowledge (explainable AI); and (ii) professionals in medicine, who will consume that knowledge generated with their research for better diagnosis. Knowledge generation / extraction processes will work in the form of a lifelong learning system by iterative and continuous use. The produced platform would be abstracted so it can be applied like a general purpose service tool in other domains. A rule extraction module would be also made available. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | IOS Press |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.lcsh | Medical innovations |
dc.subject.lcsh | Information theory |
dc.subject.lcsh | Medical care |
dc.subject.lcsh | Computer security |
dc.subject.other | Digital twin |
dc.subject.other | Anonymization |
dc.subject.other | Decision support system |
dc.subject.other | Healthcare |
dc.title | Towards a healthcare digital twin |
dc.type | Conference lecture |
dc.subject.lemac | Medicina -- Innovacions |
dc.subject.lemac | Informació, Teoria de la |
dc.subject.lemac | Assistència mèdica |
dc.subject.lemac | Seguretat informàtica |
dc.contributor.group | Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement |
dc.identifier.doi | 10.3233/FAIA190139 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ebooks.iospress.nl/volumearticle/52852 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 25906734 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Angulo, C.; Ortega Ramírez, Juan Antonio; Gonzalez-Abril, L. |
local.citation.contributor | International Conference of the Catalan Association for Artificial Intelligence |
local.citation.publicationName | Artificial Intelligence Research and Development vol. 319 |
local.citation.startingPage | 312 |
local.citation.endingPage | 315 |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
:
Attribution-NonCommercial-NoDerivs 3.0 Spain