Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease

European Journal of Trauma and Emergency Surgery

Volumn 41, Issue 1, 2015, Pages 91-98

  Soreide K ^a,b   Thorsen, K ^a,b   Soreide J A ^a,b  

^a STAVANGER UNIVERSITY HOSPITAL   (Norway)

^b UNIVERSITY OF BERGEN   (Norway)

Author keywords

Computer simulation; Gastroduodenal ulcers; Mortality; Outcome assessment; Peptic ulcer perforation; Prediction; Prognosis

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTIFICIAL NEURAL NETWORK; COMORBIDITY; COMPLICATION; FEMALE; HUMAN; MALE; MIDDLE AGED; MORTALITY; OUTCOME ASSESSMENT; PREDICTIVE VALUE; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; ULCER PERFORATION; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; AREA UNDER CURVE; COMORBIDITY; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); OUTCOME ASSESSMENT (HEALTH CARE); PEPTIC ULCER PERFORATION; PREDICTIVE VALUE OF TESTS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; ROC CURVE;

EID: 84939883024     PISSN: 18639933     EISSN: 16153146     Source Type: Journal    
DOI: 10.1007/s00068-014-0417-4     Document Type: Article

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