A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the ...

Depression and anxiety were examined using the PHQ-2 and the GAD-7, respectively. Elastic net, random forest, and gradient tree boosting were used to ... anxiety in a large Brazilian sample using ...

SAVANA uses a machine learning algorithm to identify ... efficiently deliver reliable results. This algorithm was developed and tested across 99 human tumour samples by researchers at EMBL's ...

Postpartum depression (PPD) affects up to 15 percent ... Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic ...

Postpartum depression (PPD) affects up to 15% of ... Mass General Brigham researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical ...

Postpartum depression (PPD) affects up to 15 percent ... Mass General Brigham researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical ...

This paper designs a heterogeneous synchronous reinforcement learning (HSRL)-based human-machine shared steering decision-making (HMSSDM) strategy for intelligent vehicles. First, the vehicle dynamics ...