A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...

Abstract: Worldwide, cardiovascular disease has remained one of the topmost killers among all diseases. This has stirred a high interest in prognostic models with early detection and prevention ...

A comprehensive machine learning web application that predicts disease risk based on patient medical parameters using Logistic Regression and Random Forest algorithms. This project provides an ...

Objective: In this study, we aim to identify the predictive variables for hemiplegic shoulder pain (HSP) through machine learning algorithms, select the optimal model and predict the occurrence of HSP ...

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...