2026-04-13T13:39:36Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/129352024-06-13T09:51:15Zcom_2072_453036com_2072_2054col_2072_453038

Handling Missing Phenotype Data with Random Forests for Diabetes Risk Prognosis López Ibáñez, Beatriz Viñas, Ramon Torrent-Fontbona, Ferran Fernández-Real Lemos, José Manuel Diabetis no-insulinodependent -- Congressos Non-insulin-dependent diabetes -- Congresses Intel·ligència artificial -- Aplicacions a la medicina -- Congressos Artificial intelligence -- Medical applications -- Congresses Diabetis -- Congressos Diabetes -- Congresses Comunicació de congrés presentada a: Workshop on Artificial Intelligence for Diabetes (AID) (1st: 2016: The Hague, Holanda) i European Conference on Artificial Intelligence (ECAI) (22nd: The Hage, Holanda) Aquest workshop ha rebut finançament del programa d'investigació i innovació EU Horizon 2020 sota el núm. d'ajut 689810 Machine learning techniques are the cornerstone to handle the amounts of information available for building comprehensive models for decision support in medical practice. However, the datasets use to have a lot of missing information. In this work we analyse how the random forests technique could be used for dealing with missing phenotype values in order to prognosticate diabetes type 2 This project has received funding from the grant of the University of Girona 2016-2018 (MPCUdG2016) and the European Unions Horizon 2020 research and innovation programme under grant agreement No 689810 (PEPPER). The work has been developed with the support of the research group SITES awarded with distinction by the Generalitat de Catalunya (SGR 2014-2016) 2024-06-13T09:51:14Z 2024-06-13T09:51:14Z 2024-06-13T09:51:14Z 2016 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/acceptedVersion http://hdl.handle.net/10256/12935 info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.427979 info:eu-repo/grantAgreement/EC/H2020/689810/EU/Patient Empowerment through Predictive PERsonalised decision support/PEPPER Tots els drets reservats info:eu-repo/semantics/openAccess European Conference on Artificial Intelligence (ECAI) © López, B., Herrero, P., Martin, C.(eds). (2016). AID: Artificial Intelligence for Diabetes: 1st ECAI Workshop on Artificial intelligence for Diabetes at the 22nd European Conference on Artificial Intelligence (ECAI 2016): 30 August 2016, The Hague, Holland: Proceedings, p. 39-42 Contribucions a congressos (D-EEEiA)