Development and evaluation of a semantic data model for chest radiology

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Title Development and evaluation of a semantic data model for chest radiology
Publication Type dissertation
School or College School of Medicine
Department Biomedical Informatics
Author Rocha, Roberto de Almeida
Date 1996-06
Description Despite significant achievements in many areas of medicine, computer-based technology has yet to demonstrate its ability to consistently process medical information. Important examples of this inability are the technological obstacles that currently impede the creation of a complete and lifelong computer-based patient record. The ability to process the medical language has long been identified as one of these technological challenges. An essential step toward the effective processing of the medical language is the development of representational models that formalize the language semantics. These models, also known as 'semantic data models,' make relationships between the different medical concepts explicit, while providing the context in which meaningful expressions can be unambiguously represented. The utilization of these models helps to unlock the meaning of these expressions, making it accessible to computer systems. The main hypothesis of the present study is that a semantic data
Type Text
Publisher University of Utah
Subject MESH Radiography, Thoracic; Automatic Data Processing
Dissertation Institution University of Utah
Dissertation Name PhD
Language eng
Relation is Version of Digital reproduction of "Development and evaluation of a semantic data model for chest radiology". Spencer S. Eccles Health Sciences Library.
Rights Management © Roberto de Almeida Rocha.
Format application/pdf
Format Medium application/pdf
Format Extent 3,922,943 bytes
Identifier undthes,4312
Source Original: University of Utah Spencer S. Eccles Health Sciences Library (no longer available).
Funding/Fellowship Scholarship from the National Council for Scientific and technological Development (CNPq), Secretary for Science and Technology, Brazil; Dissertation grant (1 R03 HS 08053-010) from the Agency for Health Care Policy and Research
Master File Extent 3,922,992 bytes
ARK ark:/87278/s67w6f09
Setname ir_etd
ID 191348
Reference URL https://collections.lib.utah.edu/ark:/87278/s67w6f09
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