Modelling and analysing the dynamics of disease progression from cross-sectional studies

Journal of Biomedical Informatics

Volumn 46, Issue 2, 2013, Pages 266-274

  Li, Yuanxi ^a   Swift, Stephen ^a   Tucker, Allan ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Algorithms; Data mining; Disease progression; Time series

Indexed keywords

BOOTSTRAP TECHNIQUE; CROSS-SECTIONAL STUDY; DISEASE PROGRESSION; INTERMEDIATE STAGE; NUMBER OF PEOPLES; PARKINSON'S DISEASE; TIME SERIES MODELS; TIME-SERIES DATA;

ALGORITHMS; DATA MINING; DATA PROCESSING; DISEASES;

TRAJECTORIES;

ARTICLE; AUTOMATION; BOOTSTRAPPING; BREAST CANCER; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DISEASE COURSE; GLAUCOMA; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; PARKINSON DISEASE; PRIORITY JOURNAL; VISUAL FIELD;

ALGORITHMS; BREAST NEOPLASMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; CROSS-SECTIONAL STUDIES; DATA MINING; DATABASES, FACTUAL; DISEASE PROGRESSION; FEMALE; GLAUCOMA; HUMANS; MARKOV CHAINS; MODELS, BIOLOGICAL; PARKINSON DISEASE;

EID: 84875605527     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2012.11.003     Document Type: Article

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