Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms

Artificial Intelligence in Medicine

Volumn 46, Issue 3, 2009, Pages 201-215

  Samanta, Biswanath ^a   Bird, Geoffrey L ^b   Kuijpers, Marijn ^d   Zimmerman, Robert A ^b   Jarvik, Gail P ^c   Wernovsky, Gil ^b   Clancy, Robert R ^b   Licht, Daniel J ^b   Gaynor, J William ^b   Nataraj, Chandrasekhar ^a  

^a Villanova University   (United States)

^b CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Congenital heart disease; Data mining; Decision tree algorithms; Logistic regression; Periventricular leukomalacia; Prognostics

Indexed keywords

CONGENITAL HEART DISEASE; DECISION TREE ALGORITHMS; LOGISTIC REGRESSION; PERIVENTRICULAR LEUKOMALACIA; PROGNOSTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BLOOD; BLOOD PRESSURE; CARDIOLOGY; DECISION TREES; HYDRODYNAMICS; INFORMATION MANAGEMENT; INTENSIVE CARE UNITS; LOGISTICS; MINING; MONITORING; REGRESSION ANALYSIS; RISK ANALYSIS; SET THEORY; SURGERY;

DATA MINING;

ALGORITHM; ARTERIAL GAS; ARTICLE; CARBON DIOXIDE TENSION; DATA MINING; DIASTOLIC BLOOD PRESSURE; ENCEPHALOMALACIA; HEMODYNAMICS; INFORMATION PROCESSING; LOGISTIC REGRESSION ANALYSIS; OXYGEN TENSION; PRIORITY JOURNAL; PROGNOSIS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SYSTOLIC BLOOD PRESSURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CARBON DIOXIDE; DECISION TREES; HEART DEFECTS, CONGENITAL; HEMODYNAMICS; HUMANS; INFANT, NEWBORN; INTENSIVE CARE UNITS, NEONATAL; LEUKOMALACIA, PERIVENTRICULAR; LOGISTIC MODELS; POSTOPERATIVE PERIOD; RISK FACTORS; ROC CURVE;

EID: 67349199555     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2008.12.005     Document Type: Article

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