Background: Identification of patients at risk for mortality early in the course of acute pancreatitis (AP) is an important step in improving outcome. Methods: Using Classification and Regression Tree ...

Correspondence to Dr Matteo Renzulli, Department of Medical and Surgical Sciences, Sant’Orsola Hospital, University of Bologna, Bologna 40126, Italy; matteo.renzulli{at}aosp.bo.it Objective Many ...

Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard [Paper] ...

In this study, we were aimed to identify important variables via machine learning algorithms and predict postoperative delirium (POD) occurrence in older patients. This study was to make the secondary ...

Introduction: Incidental gallbladder uptake is not an infrequent finding on oncologic FDG PET/CT. It can be challenging for the interpreting physician to determine a diagnosis and decide whether to ...

Abstract: Intrusion detection is the process called indentifying invasions. The action to enter a system without permission is called intrusion. By adding advanced technologies to mobile phones, such ...

Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically ...

Continuous data ("regression"): quadratic loss (L2 loss), absolute error (L1 loss), Huber loss, quantile regression loss, Gamma regression loss, negative Gaussian log ...