Abstract: Information systems and strategic tools have lately been offered as new strategies in medical research to improve the disease detection process ... A variety of machine learning (ML) ...

The random forest algorithm consists of a multitude of decision trees comprising multiple true or false conditions using input variables. The sum of the decisions made by the decision trees is used ...

may lead to depression and physical illnesses. Currently, the detection of stress severity relies on self-assessment scales, while machine learning or deep learning-based approaches primarily focus on ...

cSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China dDepartment of Computer Science and Engineering, The Chinese ...

Zhang is part of a research team that has developed a deep learning model to detect mental health symptoms and risk factors on social media. Their study – “Depression Detection Using Digital ...