Similarity measure between patient traces for clinical pathway analysis: Problem, method, and applications

IEEE Journal of Biomedical and Health Informatics

Volumn 18, Issue 1, 2014, Pages 4-14

  Huang, Zhengxing ^a   Dong, Wei ^b   Duan, Huilong ^a   Li, Haomin ^c  

^a ZHEJIANG UNIVERSITY   (China)

^b CHINESE PLA GENERAL HOSPITAL   (China)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Anomaly detection; Clinical pathway analysis (CPA); Latent Dirichlet allocation(LDA); Patient trace clustering; Patient trace retrieval; Similarity measure

Indexed keywords

ANOMALY DETECTION; REAL TIME SYSTEMS; STATISTICS;

CLINICAL PATHWAYS; LATENT DIRICHLET ALLOCATIONS; PATIENT TRACE CLUSTERING; PATIENT TRACE RETRIEVAL; SIMILARITY MEASURE;

PATIENT TREATMENT;

ALGORITHM; ARTICLE; BRAIN HEMORRHAGE; CLINICAL PATHWAY; CLUSTER ANALYSIS; FACTUAL DATABASE; HUMAN; MEDICAL INFORMATICS; THEORETICAL MODEL;

ALGORITHMS; CLUSTER ANALYSIS; CRITICAL PATHWAYS; DATABASES, FACTUAL; HUMANS; INTRACRANIAL HEMORRHAGES; MEDICAL INFORMATICS COMPUTING; MODELS, THEORETICAL;

EID: 84892611453     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2274281     Document Type: Article

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