Prediction of the development of pregnancy-induced hypertensive disorders in high-risk pregnant women by artificial neural networks

Clinical Chemistry and Laboratory Medicine

Volumn 39, Issue 9, 2001, Pages 801-805

  Mello, G ^a   Parretti, E ^a   Ognibene, A ^a   Mecacci, F ^a   Cioni, R ^a   Scarselli, G ^a   Messeri, G ^a  

^a Laboratorio di Chimica Clinica   (Italy)

Author keywords

Artificial neural networks; Hypertension; Pregnancy

Indexed keywords

CREATININE; FERRITIN; IRON; PROTEIN; UREA; URIC ACID;

ADOLESCENT; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC VALUE; FEMALE; HEMATOCRIT; HIGH RISK PATIENT; HUMAN; INTRAUTERINE GROWTH RETARDATION; MAJOR CLINICAL STUDY; MATERNAL HYPERTENSION; MULTIPLE REGRESSION; PREDICTION; PREECLAMPSIA; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; THIRD TRIMESTER PREGNANCY;

ABORTION, HABITUAL; ADOLESCENT; ADULT; AREA UNDER CURVE; FEMALE; FETAL DEATH; HUMANS; HYPERTENSION; LONGITUDINAL STUDIES; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PRE-ECLAMPSIA; PREDICTIVE VALUE OF TESTS; PREGNANCY; PREGNANCY COMPLICATIONS, CARDIOVASCULAR; RISK FACTORS; ROC CURVE;

STAPHYLOCOCCUS PHAGE 187;

EID: 0034815231     PISSN: 14346621     EISSN: None     Source Type: Journal    
DOI: 10.1515/CCLM.2001.132     Document Type: Article

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