Mining and exploring care pathways from electronic medical records with visual analytics

[Display omitted] •We extract sequences of events from EMRs to correlate with patient outcome.•We propose Care Pathway Explorer that combines sequence mining with visualizations.•We support the integration of data-driven insights into care pathway discovery.•We analyze the diagnoses and treatments o...

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Veröffentlicht in:	Journal of biomedical informatics 2015-08, Vol.56, p.369-378
Hauptverfasser:	Perer, Adam, Wang, Fei, Hu, Jianying
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Cohort Studies Computer Graphics Data Collection Data mining Data Mining - methods Data-driven care plans Electronic Health Records Frequent sequence mining Historic Humans Hyperlipidemias - complications Hyperlipidemias - diagnosis Hyperlipidemias - drug therapy Hypertension - diagnosis Hypertension - drug therapy Lipoproteins, LDL - analysis Materials handling Medical services Mining Pathways Patient Outcome Assessment Patients Prediabetic State - diagnosis Prediabetic State - drug therapy Software Temporal event visualization Visual analytics
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