Artificial neural networks predict the incidence of portosplenomesenteric venous thrombosis in patients with acute pancreatitis

Journal of Thrombosis and Haemostasis

Volumn 15, Issue 3, 2017, Pages 439-445

  Fei, Y ^a   Hu, J ^b   Li, W Q ^a   Wang, W ^c   Zong, G Q ^c  

^a MEDICAL SCHOOL OF NANJING UNIVERSITY   (China)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c NANJING UNIVERSITY OF CHINESE MEDICINE   (China)

Author keywords

forecasting; logistic regression; neural network models; pancreatitis; portosplenomesenteric venous thrombosis

Indexed keywords

ACUTE PANCREATITIS; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CLINICAL STUDY; CONTROLLED STUDY; FEMALE; HUMAN; INCIDENCE; INTERMETHOD COMPARISON; LABORATORY TEST; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MEASUREMENT ERROR; PORTOSPLENOMESENTERIC VENOUS THROMBOSIS; RANDOM SAMPLE; SOFTWARE; STATISTICAL MODEL; VALIDATION STUDY; VEIN THROMBOSIS; ACUTE DISEASE; AGED; AUTOMATED PATTERN RECOGNITION; COMPLICATION; DOPPLER ULTRASONOGRAPHY; MIDDLE AGED; PANCREATITIS; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; RETROSPECTIVE STUDY; YOUNG ADULT;

ACUTE DISEASE; ADULT; AGED; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PANCREATITIS; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; RETROSPECTIVE STUDIES; ROC CURVE; SOFTWARE; ULTRASONOGRAPHY, DOPPLER; VENOUS THROMBOSIS; YOUNG ADULT;

EID: 85012981813     PISSN: 15387933     EISSN: 15387836     Source Type: Journal    
DOI: 10.1111/jth.13588     Document Type: Article

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