Learning Bayesian networks for clinical time series analysis

Journal of Biomedical Informatics

Volumn 48, Issue , 2014, Pages 94-105

  Van der Heijden, Maarten ^a,b   Velikova, Marina ^a   Lucas, Peter J F ^a,c  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^c LEIDEN UNIVERSITY   (Netherlands)

Author keywords

Bayesian networks; Chronic disease management; Chronic obstructive pulmonary disease; Clinical time series; Machine learning; Temporal modelling

Indexed keywords

BAYESIAN NETWORKS; CLASSIFIERS; LEARNING SYSTEMS; TIME SERIES ANALYSIS; ARTIFICIAL INTELLIGENCE; DISEASES; PULMONARY DISEASES;

BAYESIAN NETWORK LEARNING; BOOTSTRAP REPLICATIONS; CHRONIC DISEASE MANAGEMENT; CHRONIC OBSTRUCTIVE PULMONARY DISEASE; CLINICAL TIME SERIES; HOME MONITORING SYSTEMS; LEARNING BAYESIAN NETWORKS; TEMPORAL NODES BAYESIAN NETWORKS;

PULMONARY DISEASES; BAYESIAN NETWORKS;

ADULT; AGED; ARTICLE; BAYESIAN LEARNING; BOOTSTRAPPING; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLINICAL ARTICLE; DATA ANALYSIS; DISEASE EXACERBATION; FEMALE; HUMAN; LEARNING ALGORITHM; MALE; MEDICAL INFORMATION SYSTEM; MIDDLE AGED; MODEL; NETWORK LEARNING; PREDICTION; PRIORITY JOURNAL; TIME SERIES ANALYSIS; AUTOMATION; MATHEMATICAL PARAMETERS; MEDICAL INFORMATICS; NONBIOLOGICAL MODEL; PATIENT MONITORING; PROBABILITY; QUALITY CONTROL; SELF CARE; VALIDATION STUDY; ALGORITHM; AMBULATORY MONITORING; AREA UNDER THE CURVE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; LUNG; PHYSIOLOGY; PROCEDURES; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; SIGNAL PROCESSING; TIME;

AGED; ALGORITHMS; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; LUNG; MALE; MIDDLE AGED; MONITORING, AMBULATORY; PROBABILITY; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 84899478588     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.12.007     Document Type: Article

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