Prediction of clinical conditions after coronary bypass surgery using dynamic data analysis

Journal of Medical Systems

Volumn 34, Issue 3, 2010, Pages 229-239

  Van Loon, K ^a   Guiza, F ^b   Meyfroidt, G ^c   Aerts, J M ^a   Ramon, J ^b   Blockeel, H ^b   Bruynooghe, M ^b   Van Den Berghe, G ^c   Berckmans, D ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b Department of Computer Science ^*  (Belgium)

^c UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

Binary probabilistic classifier; Cepstral coefficients; Gaussian processes; Intensive care; Time series analysis

Indexed keywords

ADULT; AGED; ARTICLE; CEPSTRAL COEFFICIENT; COMPUTER PREDICTION; CONSTANTS AND COEFFICIENTS; CONTROLLED STUDY; CORONARY ARTERY BYPASS SURGERY; CRITICALLY ILL PATIENT; DATA ANALYSIS; DATA EXTRACTION; DYNAMIC DATA ANALYSIS; FEMALE; HEART RATE; HOSPITAL ADMISSION; HUMAN; INTENSIVE CARE; KERNEL METHOD; LOGISTIC REGRESSION ANALYSIS; LUNG PRESSURE; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE AUTOREGRESSIVE MODEL; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NORMAL DISTRIBUTION; OXYGEN SATURATION; PATIENT CODING; PREDICTION; STATISTICAL MODEL; SYSTOLIC BLOOD PRESSURE; TIME SERIES ANALYSIS; APACHE; BIOLOGICAL MODEL; CLASSIFICATION; CORONARY ARTERY BYPASS GRAFT; CRITICAL ILLNESS; MATHEMATICAL COMPUTING; MIDDLE AGED; MONITORING; POSTOPERATIVE CARE; RECEIVER OPERATING CHARACTERISTIC;

AGED; APACHE; CORONARY ARTERY BYPASS; CRITICAL ILLNESS; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; NORMAL DISTRIBUTION; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; POSTOPERATIVE CARE; ROC CURVE;

EID: 77954068190     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-008-9234-9     Document Type: Article

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