A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...

Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...

Abstract: - this research paper explores the possibilities of using the Logistic Regression Framework as means of controlling the scalability and mobility of cloud computing servers. The aim of this ...

Abstract: Logistic regression algorithm is a supervised learning algorithm widely used in classification problems. To expand its application, this paper applies it to the modelling examination of ...

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...