J
James J. Cimino
Researcher at University of Alabama at Birmingham
Publications - 390
Citations - 14092
James J. Cimino is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Unified Medical Language System & Information needs. The author has an hindex of 58, co-authored 367 publications receiving 12899 citations. Previous affiliations of James J. Cimino include Duke University & Rutgers University.
Papers
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Journal ArticleDOI
A General Natural-language Text Processor for Clinical Radiology
TL;DR: Development of a general natural-language processor that identifies clinical information in narrative reports and maps that information into a structured representation containing clinical terms, using radiology as the test domain.
Book
Biomedical Informatics: Computer Applications in Health Care and Biomedicine
TL;DR: In this paper, the authors discuss the future of medical computing applications in health care, including computer-based patient-record systems, information-retrieval systems, and decision support systems.
Journal ArticleDOI
Desiderata for Controlled Medical Vocabularies in the Twenty-First Century
TL;DR: This paper brings together some of the common themes which have been described, including: vocabulary content, concept orientation, concept Orientation, concept permanence, nonsemantic concept identifiers, polyhierarchy, formal definitions, rejection of "not elsewhere classified" terms, multiple granularities, multiple consistent views, context representation, graceful evolution, and recognized redundancy.
Journal ArticleDOI
Caveats for the use of operational electronic health record data in comparative effectiveness research.
William R. Hersh,Mark G. Weiner,Peter J. Embi,Judith R. Logan,Philip R. O. Payne,Elmer V. Bernstam,Harold P Lehmann,George Hripcsak,Timothy H. Hartzog,James J. Cimino,Joel H. Saltz +10 more
TL;DR: A list of caveats is developed to inform would-be users of such data as well as provide an informatics roadmap that aims to insure this opportunity to augment comparative effectiveness research can be best leveraged.
Journal ArticleDOI
DXplain: An Evolving Diagnostic Decision-Support System
TL;DR: A key element in the distribution of DXplain is the planned collaboration with its physician-users whose comments, criticisms, and suggestions will play an important role in modifying and enhancing the knowledge base.