Medical Informatics Research and Training at the Lister Hill National Center for Biomedical Communications

The Lister Hill National Center for Biomedical Communications was established by a joint resolution of the United States Congress in 1968 as a research and development division of the National Library of Medicine (NLM). Lister Hill Center research is carried out through several major programs, all sharing the purpose of improving health-care information dissemination and use. We conduct our research by drawing on a diverse set of scientific fields and methods (see [125] for a sample of our recent publications.) Our researchers have backgrounds in medicine, computer science, library and information science, linguistics, engineering, and educaJtion. We conduct both basic and ap!lilied informatics research and are engaged in a number of broad research areas. Knowledge processing research tincludes language and information })rocessing and expert systems reJearch. Information systems research Includes consumer health informatics, tabase systems, digital library rech, and medical education sys. Image processing research in• des image segmentation, compres' and transmission methods and orithms. We are also the focal point · NLM' s high performance computactivities, including research sup-

[1]  Olivier Bodenreider,et al.  Case Report: Evaluation of the Unified Medical Language System as a Medical Knowledge Source , 1998, J. Am. Medical Informatics Assoc..

[2]  Sunanda Mitra,et al.  Entropy encoding of difference images from adjacent visible human digital color photographic slices for lossless compression , 1997, Medical Imaging.

[3]  Charles Sneiderman,et al.  Automatic semantic interpretation of anatomic spatial relationships in clinical text , 1998, AMIA.

[4]  L. Rodney Long,et al.  Compressing and Transmitting Visible Human Images , 1997, IEEE Multim..

[5]  Alexa T. McCray,et al.  Lexicon assistance reduces manual verification of OCR output , 1998, Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237).

[6]  Allen C. Browne,et al.  Evaluating lexical variant generation to improve information retrieval , 1998, AMIA.

[7]  Susanne M. Humphrey,et al.  A New Approach to Automatic Indexing Using Journal Descriptors. , 1998 .

[8]  Thomas C. Rindflesch,et al.  Query Expansion Using the UMLS ® Metathesaurus ® , 1997 .

[9]  Charles Sneiderman,et al.  Identification of anatomical terminology in medical text , 1998, AMIA.

[10]  L C Kingsland,et al.  Computer-assisted Diagnosis of Pediatric Rheumatic Diseases , 1998, Pediatrics.

[11]  Craig Locatis,et al.  Searching Through Cyberspace: The Effects of Link Cues and Correspondence on Information Retrieval from Hypertext on the World Wide Web , 1998, J. Am. Soc. Inf. Sci..

[12]  Alexa T. McCray,et al.  Research Paper: Evaluating the Coverage of Controlled Health Data Terminologies: Report on the Results of the NLM/AHCPR Large Scale Vocabulary Test , 1997, J. Am. Medical Informatics Assoc..

[13]  J. Parascandola.  Alice Evans, an early woman scientist at NIH. , 1998, Public health reports.

[14]  Alexa T. McCray.  Conceptual Complexity in Biomedical Terminologies: The UMLS Approach , 1997 .

[15]  Alexa T. McCray,et al.  Discovering the modifiers in a terminology data set , 1998, AMIA.

[16]  Craig Locatis,et al.  Distributed Learning and the Internet. , 1997 .

[17]  Michael J. Ackerman,et al.  The Visible Human Project™: A Resource for Anatomical Visualization , 1998, MedInfo.