Visually guided classification trees for analyzing chronic patients

This work has been partly supported by Spanish institutions: Ministry of Science, Innovation and Universities (grants TEC2016-75361-R and RTI2018-098694-B-I00), Institute of Health Carlos III (grant 847 DTS17/00158) and by Network of Excellence TIN2017-90567-REDT.

Detalhes bibliográficos
Autores: Soguero-Ruiz, Cristina, Mora-Jiménez, Inmaculada, Mohedano-Munoz, Miguel Ángel, Rubio-Sánchez, Manuel, de Miguel-Bohoyo, Pablo, Sanchez, Alberto
Tipo de documento: artigo
Data de publicação:2020
País:España
Recursos:Universidad Rey Juan Carlos
Repositório:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/28486
Acesso em linha:https://hdl.handle.net/10115/28486
Access Level:Acceso aberto
Palavra-chave:Chronic health status
Diabetes
Hypertension
Multivariate visualization
Classification trees
Diagnoses
Drugs
Descrição
Resumo:This work has been partly supported by Spanish institutions: Ministry of Science, Innovation and Universities (grants TEC2016-75361-R and RTI2018-098694-B-I00), Institute of Health Carlos III (grant 847 DTS17/00158) and by Network of Excellence TIN2017-90567-REDT.

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