Background The objective was to develop and assess performance of an algorithm
predicting suicide-related ICD codes within three months of psychiatric discharge. Methods …

Background Mental disorders (MDs) are becoming a leading burden in non-communicable
diseases (NCDs). As per the World Health Organization's 2022 assessment report, there …

Coreference resolution is a challenging part of natural language processing (NLP) with
applications in machine translation, semantic search and other information retrieval, and …

Objectives: To summarize recent research and present a selection of the best papers
published in 2016 in the field of clinical Natural Language Processing (NLP). Method: A …

Background: Suicide risk prediction models frequently rely on structured electronic health
record (EHR) data, including patient demographics and health care usage variables …

We report on a study of our custom Hootation software for the purposes of assessing its
ability to produce clear and accurate natural language phrases from axioms embedded in …

Background Psychiatric presentations are common in emergency departments (EDs), but
the standard of care for treatment remains poorly defined. We introduced standards for …

Violence risk assessment in psychiatric institutions enables interventions to avoid violence
incidents. Clinical notes written by practitioners and available in electronic health records …

Abstract The Internet of Medical Things (IoMT) has the potential to revolutionize the
healthcare industry by providing real-time health information, remote monitoring, and …

Objective Our objective was to develop a machine learning-based system to determine the
severity of Positive Valance symptoms for a patient, based on information included in their …