Abstract Background Natural Language Processing (NLP) applications have developed
over the past years in various fields including its application to clinical free text for named …

The widespread use of electronic health records (EHR) systems in health care provides a
large amount of real-world data, leading to new areas for clinical research. Natural language …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

NLP (Natural Language Processing) is a technology that enables computers to understand
human languages. Deep-level grammatical and semantic analysis usually uses words as …

The last decade has seen an exponential growth in the quantity of clinical data collected
nationwide, triggering an increase in opportunities to reuse the data for biomedical research …

Objectives Drug repurposing, which finds new indications for existing drugs, has received
great attention recently. The goal of our work is to assess the feasibility of using electronic …

One of the biomedical entity types of relevance for medicine or biosciences are chemical
compounds and drugs. The correct detection these entities is critical for other text mining …

Automatic recognition of clinical entities in the narrative text of health records is useful for
constructing applications for documentation of patient care, as well as for secondary usage …

Background Named entity recognition (NER) is an important task in clinical natural language
processing (NLP) research. Machine learning (ML) based NER methods have shown good …

Objective The combination of phenomic data from electronic health records (EHR) and
clinical data repositories with dense biological data has enabled genomic and …