Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

Radiological reporting has generated large quantities of digital content within the electronic
health record, which is potentially a valuable source of information for improving clinical care …

Objective Health care generated data have become an important source for clinical and
genomic research. Often, investigators create and iteratively refine phenotype algorithms to …

With the widespread adoption of electronic health records (EHRs), large repositories of
structured and unstructured patient data are becoming available to conduct observational …

The Strategic Health IT Advanced Research Projects (SHARP) Program, established by the
Office of the National Coordinator for Health Information Technology in 2010 supports …

Objectives Electronic health records (EHR) can allow for the generation of large cohorts of
individuals with given diseases for clinical and genomic research. A rate-limiting step is the …

The combination of improved genomic analysis methods, decreasing genotyping costs, and
increasing computing resources has led to an explosion of clinical genomic knowledge in …

Abstract Information extraction (IE), a natural language processing (NLP) task that
automatically extracts structured or semi-structured information from free text, has become …

The increasing availability of electronic health records (EHRs) creates opportunities for
automated extraction of information from clinical text. We hypothesized that natural language …

Developing clinical natural language systems based on machine learning and deep
learning is dependent on the availability of large-scale annotated clinical text datasets, most …