AI models predict when patients can safely stop long-term antidepressant use

New machine learning models developed by University of South Australia (UniSA) researchers could help clinicians identify when patients can successfully stop long-term antidepressant use.
IEEE

An Integrated Approach for Landslide Susceptibility Prediction using Decision Tree and Recurrent Neural Networks

Abstract: Statistical and deep learning algorithms have been extensively employed in landslide susceptibility modelling due to their efficacy in mapping areas prone to landslides. This is especially ...
IEEE

Road Accidents Prediction Using Decision Tree in Comparison to Linear Regression

Abstract: To reliably forecast traffic accidents using novel decision trees and evaluate their accuracy against linear regression. prediction of traffic accidents by the use of linear regression and ...
CNN

Using the phone while you poop greatly raises hemorrhoid risk, new study says

Jocelyn Solis-Moreira is a freelance health and science journalist based in New York. There’s nothing like shutting the bathroom door, maybe even locking it and hiding away from one’s family, even ...
Frontiers

Association between shift work and brain age gap: a neuroimaging study using MRI-based brain age prediction algorithms

Background: Shift work is increasingly common and associated with numerous adverse health effects. Although studies show that shift work affects brain structure and neurological stress, its direct ...