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Intraabdominal Infections

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Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

Journal of digestive diseases 31328389
OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression mode...
Adult APACHE Female Humans Intraabdominal Infections Logistic Models Male Middle Aged Models, Biological Neural Networks, Computer Pancreatitis Predictive Value of Tests Prognosis Retrospective Studies Risk Factors ROC Curve Severity of Illness Index
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Establishment and Validation of a Machine-Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra-Abdominal Candidiasis in Septic Patients.

Clinical and translational science 39835620
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical factors for the early and rapid prediction of Intra-abdominal candidiasis (IAC) in septic patients. A prospective cohort study of 633 consecutive patients ...
Adult Aged beta-Glucans Candidiasis CD4-CD8 Ratio Female Humans Intraabdominal Infections Machine Learning Male Middle Aged Nomograms Prospective Studies Risk Factors Sepsis
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