Prediction of pelvic organ prolapse using an artificial neural network

American Journal of Obstetrics and Gynecology

Volumn 199, Issue 2, 2008, Pages 193.e1-193.e6

  Robinson, Christopher J ^a   Swift, Steven ^a   Johnson, Donna D ^a   Almeida, Jonas S ^b  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

artificial neural network; data mining; pelvic organ prolapse; prediction

Indexed keywords

ADULT; ANAMNESIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL EXAMINATION; DATA ANALYSIS; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; PELVIC ORGAN PROLAPSE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

EID: 47949084316     PISSN: 00029378     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ajog.2008.04.029     Document Type: Article

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