This article reviews recent advances in applying natural language processing (NLP) to
Electronic Health Records (EHRs) for computational phenoty**. NLP-based …

Objective To summarize applications of natural language processing (NLP) in model
informed drug development (MIDD) and identify potential areas of improvement. Materials …

Objective This paper describes the University of Michigan's nine-year experience in
develo** and using a full-text search engine designed to facilitate information retrieval (IR) …

Introduction Clinical data warehouses are often oriented toward integration and exploration
of coded data. However narrative reports are of crucial importance for translational research …

Background Temporal relations between clinical events play an important role in clinical
assessment and decision making. Extracting such relations from free text data is a …

With the emergence of electronic health records, the reuse of clinical data offers new
perspectives for the diagnosis and management of patients with rare diseases. However …

The widespread adoption of electronic health records (EHRs) and the growing wealth of
digitized information sources about patients is ushering in an era of 'Big Data'that may …

Clinical data in hospitals are increasingly accessible for research through clinical data
warehouses, however these documents are unstructured. It is therefore necessary to extract …

Importance As cancer treatment has become more individualized, oncologic clinical trials
have become more complex. Increasingly numerous and stringent eligibility criteria …

PURPOSE The Electronic Medical Record Search Engine (EMERSE) is a software tool built
to aid research spanning cohort discovery, population health, and data abstraction for …