Introduction The Sport Mental Health Assessment Tool-1 (SMHAT-1) was developed to screen elite athletes for mental health concerns. Previous work demonstrated high false negative rates (FNRs) for the ...

First off, thank you for the excellent documentation on this project. It's been very helpful. I was studying the Logistic Regression section, specifically the part ...

The goal of this task is to build a binary classification model using Logistic Regression. The model is trained to predict a binary outcome (e.g., malignant vs benign tumors) using real-world data.

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

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.