Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Background Machine learning systems are part of the field of artificial intelligence that
automatically learn models from data to make better decisions. Natural language processing …

In ever more pressured health-care systems, technological solutions offering scalability of
care and better resource targeting are appealing. Research on machine learning as a …

Background Self-harm occurring within pregnancy and the postnatal year (“perinatal self-
harm”) is a clinically important yet under-researched topic. Current research likely under …

The Internet of Things applications are diverse in nature, and a key aspect of it is multimedia
sensors and devices. These IoT multimedia devices form the Internet of Multimedia Things …

Background Natural language processing (NLP) approaches offer powerful, flexible
methods of identifying various psychological conditions from free-form verbal expression in …

Background Suicide has become the fifth leading cause of death worldwide. With
development of the internet, social media has become an imperative source for studying …

Optimizing text preprocessing and text classification algorithms is an important, everyday
task in large organizations and companies and it usually involves a labor-intensive and time …

To develop reliable, valid, and efficient measures of obsessive-compulsive disorder (OCD)
severity, comorbid depression severity, and total electrical energy delivered (TEED) by deep …

Recently, suicide ideations represent a worldwide health concern and pose many
anticipation challenges. Actually, the prevalence of expressing self-destructive thoughts …