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 …

Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …

The tendency to recall events from one's past in a non-specific and overgeneral way has
been found to predict the onset and severity of a range of emotional disorders. Memory …

Natural language processing (NLP) is rapidly becoming an important topic in the medical
community. The ability to automatically analyze any type of medical document could be the …

The autobiographical interview has been used in more than 200 studies to assess the
content of autobiographical memories. In a typical experiment, participants recall memories …

Several decades of research have established reduced autobiographical memory
specificity, or overgeneral memory, as an important cognitive factor associated with the risk …

Abstract Memory Specificity Training (MeST) is an intervention developed from basic
science that has found clinical utility. MeST uses cued recall exercises to target the difficulty …

In the building management process, the collection of end-users' maintenance requests is a
rich source of information to evaluate occupants' satisfaction and building systems …

Autobiographical memories consist of different features that have been shown to relate to
psychological well-being and psychopathology. Two such characteristics show quite some …

Given modest response and high relapse after treatment for Major Depressive Episodes
(MDE), the development and refinement of treatments to target cognitive vulnerabilities is …