NLP

Project Description == The goal of the clinical and translational research is to rapidly convert novel advances in basic science to improvements in patient care and relay findings from clinical studies employing such new and increasingly customized diagnostics and therapeutics back to the bench for further refinement of the disease management process. To realize this goal, the physician-scientist must be able to integrate diverse and complex biomedical data sets that include clinical information obtained from the patient with the results of routine laboratory tests, imaging, biospecimens, molecular profiling (e.g. microarray analysis, proteomics, lipidomics, etc.), and genome annotation information. Cider NLP project facilitate and encourage developing of new annotator, pipeline, collaborate on biomedical natural language processing systems and develop gold-standard corpora for development and testing. We have use open source UIMA framework as the basis for CIDER NLP project.

Why Use CIDER NLP ? == The clinical and translational research creates, manages and uses a wide variety of structured and unstructured documents which could be in either reports in the textual formats. To perform research, to improve standards and to evaluate outcomes easily and ideally, in an automated fashion access to the content of these textual documents are required. The knowledge contained in structured and unstructured documents (e.g. Surgical path or lab reports, pathology reports, clinical notes, etc.), is critical to achieving all of these goals. CIDER NLP software extracts structured information from these unstructure doccuments like reports, facilitating much faster research solution. E.g. We have successfully implemented and are using CIDER NLP to search use of Illicit Drugs from the Medical Documents.

What is NLP ? == (Wikipedia definition) Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Many challenges in NLP involve: natural language understanding, enabling computers to derive meaning from human or natural language input; and others involve natural language generation.

Sponsors == Financial support for CBMI provided by: - Washington University School of Medicine - BJC Healthcare - Institute of Clinical and Translational Sciences - Grant: 5UL1 TR000448-08 - Alvin J. Siteman Cancer Center - Grant: P30 CA91842 - 14 - Washington University Kennedy Intellectual and Development Disabilities Research Center - Grant: P30 HD062171 - Expansion of Symptoms of Lower Urinary Tract Dysfunction Research Network (LURN) - Grant: 1 U01 DK100017-02 - MacArthur Foundation Subcontract with Research Data Alliance. Moving in the Biomedical Big Data Sharing Forward: An Adoption of the RDA Dynamic Major Goal