Identification Of Patient Cohorts In Large Clinical Databases Using Temporal Abstractions And Temporal Patterns Of Clinical Events.

dc.contributorPontificia Universidad Católica De Chile
dc.creatorCapurro-Nario, Daniel Alejandro
dc.date2018-06-26T22:25:39Z
dc.date2022-08-23T19:16:26Z
dc.date2018-06-26T22:25:39Z
dc.date2022-08-23T19:16:26Z
dc.date2017
dc.date.accessioned2023-08-22T01:15:51Z
dc.date.available2023-08-22T01:15:51Z
dc.identifier11130577
dc.identifierhttps://hdl.handle.net/10533/215109
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8304929
dc.descriptionFONDECYT
dc.descriptionFONDECYT
dc.descriptionFinalizado
dc.formatapplication/pdf
dc.relationhandle/10533/168886
dc.relationhandle/10533/168878
dc.relationhandle/10533/108045
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/11130577
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectInvestigacion Medica, Diagnostico, Terapia
dc.subjectCiencias Médicas Y De La Salud
dc.subjectG2 Otras Especialidades De La Medicina
dc.titleIdentification Of Patient Cohorts In Large Clinical Databases Using Temporal Abstractions And Temporal Patterns Of Clinical Events.
dc.typeInforme Final
dc.typeinfo:eu-repo/semantics/report
dc.typeinfo:eu-repo/semantics/publishedVersion


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