Much of the knowledge and information needed for enabling high-quality clinical research is
stored in free-text format. Natural language processing (NLP) has been used to extract …

Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …

Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …

Background The wide variety of morphological variants of domain-specific technical terms
contributes to the complexity of performing natural language processing of the scientific …

Background Concept recognition is an essential task in biomedical information extraction,
presenting several complex and unsolved challenges. The development of such solutions is …

Networks of molecular interactions explain complex biological processes, and all known
information on molecular events is contained in a number of public repositories including the …

Background Medical lexicons enable the natural language processing (NLP) of health texts.
Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part …

We present the first release of EMTerms (Emergency Management Terms), the largest crisis-
related terminological resource to date, containing over 7,000 terms used in Twitter to …

The assessment of genome function requires a map** between genome-derived entities
and biochemical reactions, and the biomedical literature represents a rich source of …

Objective To characterise empirical instances of Unified Medical Language System (UMLS)
Metathesaurus term strings in a large clinical corpus, and to illustrate what types of term …