Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events

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dc.contributor.authorGarcia-Carretero, Rafael
dc.contributor.authorBarquero-Perez, Oscar
dc.contributor.authorMora-Jimenez, Inmaculada
dc.contributor.authorSoguero-Ruiz, Cristina
dc.contributor.authorGoya-Esteban, Rebeca
dc.contributor.authorRamos-Lopez, Javier
dc.date.accessioned2024-01-31T14:36:58Z
dc.date.available2024-01-31T14:36:58Z
dc.date.issued2019-07-25
dc.identifier.citationGarcia-Carretero, R., Barquero-Perez, O., Mora-Jimenez, I. et al. Identification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular events. Med Biol Eng Comput 57, 2011–2026 (2019).es
dc.identifier.doi10.1007/s11517-019-02007-9es
dc.identifier.urihttps://hdl.handle.net/10115/29354
dc.language.isoenges
dc.publisherSpringer Science and Business Media LLCes
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.subjectcardiovascular riskes
dc.subjectmortalityes
dc.subjectdiabeteses
dc.subjectmachine learninges
dc.subjectLASSOes
dc.titleIdentification of clinically relevant features in hypertensive patients using penalized regression: a case study of cardiovascular eventses
dc.typeinfo:eu-repo/semantics/articlees

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