Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …

The emergence and development of noninvasive biosensors largely facilitate the collection
of physiological signals and the processing of health‐related data. The utilization of …

Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …

Depression is one of the leading causes of suicide worldwide. However, a large percentage
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …

With the current advancement in the Internet, there has been a growing demand for building
intelligent and smart systems that can efficiently address the detection of health‐related …

The ability to explain why the model produced results in such a way is an important problem,
especially in the medical domain. Model explainability is important for building trust by …

Depression is the most prevalent mental disorder that can lead to suicide. Due to the
tendency of people to share their thoughts on social platforms, social data contain valuable …

Large language models (LLM) have been successful in several natural language
understanding tasks and could be relevant for natural language processing (NLP)-based …

Digital PCR (dPCR) is built on partitioning reagent to the extent that single template
molecules are amplified and visualized individually, whereby offers higher precision and …

Background: Social media platforms provide an easily accessible and time-saving
communication approach for individuals with mental disorders compared to face-to-face …