Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end program that explains how to perform binary classification (predicting a variable with two possible discrete values) using ...

ABSTRACT: This study explored and reviewed the logistic regression (LR) model, a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent ...

Introduction: Several studies have examined the risk factors for post-percutaneous kyphoplasty (PKP) refractures and developed many clinical prognostic models. However, no prior research exists using ...

as you can see, is just a sklearn logistic regression using an array of 100 * 100 floats as input representing points in the space. The file is exported as expected and when I use the Python runtime ...

Abstract: SPSS26.0 software-assisted construction of logistic regression model, in order to study the increment of employment ability and its influencing factors of engineering postgraduates. The ...