With the challenge concluded, all data sets are now available for download at the CMC Resource Catalog.
The Medical NLP Challenge is sponsored by the Computational Medicine Center, a collaborative medical research center between Cincinnati Children's Hospital Medical Center and the University of Cincinnati Medical Center that uses data and computational systems to make disease more preventable, illness more predictive and treatment more personalized. Cincom Systems, an Ohio-based software and services company involved with the center, is providing the travel subsidy awards. Researchers from the Department of Linguistics at The Ohio State University and from the Center for Computational Pharmacology at the University of Colorado Health Services Center also participated in organizing the challenge.
The Computational Medicine Center combines the best in the fields of genetics, medicine, computer science and biological science, taking medicine to a new level. With funding and support from Ohio's Third Frontier Project and the National Institutes of Health (NIH), the center continues to build its team of talented research physicians and experts in bioinformatics, genomics, genetics, epidemiology, computer science, math and statistics. To learn more about the center, visit its web site, or contact John Pestian, PhD, director.
With 475 registered beds and more than 8,500 employees, Cincinnati Children's Hospital Medical Center is a leading medical research and teaching hospital consistently ranking among the top 10 pediatric hospitals in the nation. Cincinnati Children's is also the second-highest ranking recipient of research grants from the National Institutes of Health among pediatric institutions.
The University of Cincinnati Medical Center houses some of the university's most innovative and captivating science and research laboratories, not to mention four academic colleges and a conglomerate of patient care facilities and resources. With nearly $263 million in research dollars, more than 290,000 patients and more than 3,000 aspiring health professionals, the UC Medical Center is by far one of the most innovative academic health research complexes in the nation.
Cincom Systems is an Ohio-based company that provides software and services including customer communications, data management, application development and hosting. With more than 800 employees and 39 offices in 18 countries, Cincom serves thousands of clients on six continents, with more than 50% of revenue coming from outside the United States, one of the highest percentages in the industry. Independently owned, Cincom ranks among the top 5% of all software companies and is the only private company in the world with 21 years of producing more than $100 million in revenue. To learn more, visit www.cincom.com.
The Ohio State University linguistics program has a strongly theoretical orientation, with a research focus on the development of a general theory of human language as well as detailed accounts of the structure, development and variation of individual languages. The character of the Ohio State linguistics program is also that of a "pure science" rather than an "applied science": linguistic phenenomena are studied primarily for their own sake and as an aspect of human cognition, rather than being examined for their practical application in fields such as second language education. Experimental laboratory research in speech production, speech perception, the mental processes of sentence understanding, etc., are an important feature of many areas of study in the program. The department also has a rapidly growing focus in computational linguistics.
The mission of the Center for Computational Pharmacology at the University of Colorado Health Sciences Center is the creation of novel algorithms and knowledge-based tools for the analysis and interpretation of high-throughput molecular biology data. The center's ultimate goal is to transform the process of drug design through the use of advanced computational techniques, particularly machine learning and knowledge-based approaches applied to high-throughput molecular biology data. Researchers at the center create novel algorithms for the analysis and interpretation of gene expression arrays, proteomics, metabolomics and combinatorial chemistry assays. They also create tools for building, maintaining and applying ontologies and knowledge-bases of molecular biology, and for knowledge-driven inference from multiple biological data types. A major focus of the center is the development and application of natural language processing techniques for information extraction from and management of the biomedical literature.
