Extracting new patterns for cardiovascular disease prognosis

Expert Systems

Volumn 26, Issue 5, 2009, Pages 364-377

  Mena, Luis ^a,b   Gonzalez, Jesus A ^a   Maestre, Gladys ^b,c  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

^b UNIVERSIDAD DEL ZULIA   (Venezuela)

^c Vagelos College of Physicians and Surgeons   (United States)

Author keywords

Blood pressure variability; Cardiovascular diseases; Classification; Machine learning; Medical decision support; Prognosis

Indexed keywords

BLOOD PRESSURE VARIABILITY; CARDIOVASCULAR DISEASES; CLASSIFICATION; MACHINE LEARNING; MEDICAL DECISION SUPPORT; PROGNOSIS;

BAYESIAN NETWORKS; BLOOD PRESSURE; DECISION SUPPORT SYSTEMS; DECISION TREES; ROBOT LEARNING; SULFUR COMPOUNDS;

BLOOD;

EID: 71049123231     PISSN: 02664720     EISSN: 14680394     Source Type: Journal    
DOI: 10.1111/j.1468-0394.2009.00498.x     Document Type: Article

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