Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping

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dc.catalogadordfo
dc.contributor.authorRojas, Eric
dc.contributor.authorCapurro Nario, Daniel Alejandro
dc.date.accessioned2024-01-08T20:26:39Z
dc.date.available2024-01-08T20:26:39Z
dc.date.issued2019
dc.description.abstractUnderstanding and identifying executed patterns, activitiesand processes for patients of different characteristics provides medicalexperts a deep understanding of which tasks are critical in the providedcare, and may help identify ways to improve them. However, extractingthese events and data for patients with complex clinical phenotypes isnot a trivial task. This paper provides an approach to identifying specificpatient cohorts based on complex digital phenotypes as a starting pointto apply process mining tools and techniques and identify patterns orprocess models. Using temporal abstraction-based digital phenotypingand pattern matching, we identified a cohort of patients with sepsis fromthe MIMIC II database, and then apply process mining techniques todiscover medication use patterns. In the case study we present, the useof temporal abstraction digital phenotyping helped us discover a relevantpatient cohort, aiding in the extraction of the data required to generatedrug use patterns for medications of different types such as vasopressors,vasodilators and systemic antibacterial antibiotics. For sepsis patients,combining the use of temporal abstraction digital phenotyping and process mining tools and techniques, was proven to help extract accuratecohorts of patients for health care process mining.
dc.description.funderVRAID (ex DIPUC)
dc.fechaingreso.objetodigital2024-01-08
dc.fuente.origenHistorial Académico
dc.identifier.citationCapurro Nario Daniel Alejandr. Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping. 2019;342:187-198.
dc.identifier.doi10.1007/978-3-030-11641-5_15
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/75660
dc.information.autorucEscuela de Ingeniería; Rojas Cordoba Eric Eduardo; 0000-0002-2570-1861; 224862
dc.information.autorucEscuela de Medicina; Capurro Nario Daniel Alejandro; 0000-0002-9256-1256; 3150
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final198
dc.pagina.inicio187
dc.relation.ispartofInternational Conference on Business Process Management
dc.rightsacceso abierto
dc.subjectProcess mining
dc.subjectDigital phenotyping
dc.subjectDrug use patterns
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleCharacterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping
dc.typecomunicación de congreso
dc.volumen342
sipa.codpersvinculados224862
sipa.codpersvinculados3150
sipa.trazabilidadHistorial Académico;09-07-2021
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