Reasonable adjustments and better training improve health outcomes in the learning disability community

Megan Pritchard, a third-year nursing student at Aston University, has written a paper outlining the health inequalities ...
IEEE

Major Depressive Disorder Symptoms Detection System Through Text in Social Media Platforms Using Hybrid Deep Learning Models

Abstract: Major depressive disorder (MDD) is a global mental health problem that significantly affects individuals’ daily activities. The diagnosis of MDD is a challenging issue due to people’s stigma ...

Study identifies distinct profiles of nonverbal learning disability, offering fresh insights for diagnosis and care

A study published in JAMA Network Open identifies four distinct profiles of Nonverbal Learning Disability (NVLD), providing ...
Indiatimes

When students try to turn problem-solvers: Tackling learning disability with innovation

New Delhi: Letters that tumble off the line. Words that stop halfway. Ideas that are trapped in a child's head because the hand can't keep up. That's dysgraphia — and it's the challenge a group of ...
IEEE

Machine Learning for Disease Prediction Using Multi-Label Symptoms

Abstract: Multi-label disease prediction is a highly significant task in healthcare, which essentially encompasses cases where several diseases may occur simultaneously, in a patient. The prediction ...