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Biomedical subjects

C A Sneiderman

Publications and source records attributed to C A Sneiderman.

12 recordsLinked to original sources
PubMed2000

Argument identification for arterial branching predications asserted in cardiac catheterization reports.

The language describing coronary vasculature provides a suitable paradigm for research in semantic interpretation of anatomical text. As a pilot project we investigate the possibility of highly accurate retrieval of arterial branching relationships asserted in cardiac catheterization reports. Our methodology relies on the cooperation of underspecified linguistic analysis and structured domain knowledge. The satisfactory results of formal evaluation on both a training and testing set support the promise of this approach.

Cardiac Catheterization↗
PubMed1998

Identification of anatomical terminology in medical text.

We report on an experiment to use the natural language processing tools being developed in the SPECIALIST system to accurately identify terminology associated with the coronary arteries as expressed in coronary catheterization reports. The ultimate goal is to map from any anatomically-oriented medical text to online images, using the UMLS as an intermediate knowledge source. We describe some of the problems encountered when processing coronary artery terminology and report on the results of a formative evaluation of a tool for addressing these problems.

Cardiac Catheterization↗
PubMed1998

Automatic semantic interpretation of anatomic spatial relationships in clinical text.

A set of semantic interpretation rules to link the syntax and semantics of locative relationships among anatomic entities was developed and implemented in a natural language processing system. Two experiments assessed the ability of the system to identify and characterize physico-spatial relationships in coronary angiography reports. Branching relationships were by far the most common observed (75%), followed by PATH (20%) and PART/WHOLE relationships. Recall and precision scores were 0.78 and 0.67 overall, suggesting the viability of this approach in semantic processing of clinical text.

Anatomy↗
PubMed1996

Finding the findings: identification of findings in medical literature using restricted natural language processing.

The ability to search the biomedical literature based on findings would provide enhanced access to information. We describe a computer program called FINDX which relies on the UMLS Metathesuaurus and restricted natural language processing to identify findings in free text. Such identification can serve as a filtering mechanism while selecting relevant papers. After discussing the salient characteristics of findings on which FINDX depends, we report on the results of an experiment in which we tested the program on a set of MEDLINE abstracts pertaining to the diagnosis of Parkinson Disease.

Humans↗
PubMed1994

Evaluation of an interactive computer video tutorial on malignant melanoma.

We evaluated medical student reaction to a computer-assisted interactive tutorial on malignant melanoma, a pigmented skin cancer. The tutorial was programmed for use with IBM Infowindow Touchscreen systems which integrate full-color video images from laser videodisc with text and graphics from a personal computer. Second-year medical students at the Medical College of Virginia responded to a questionnaire and rated both the content and the process of learning with this method more highly than presentation of similar content from textbooks.

Attitude↗
PubMedDate not supplied

Computer-assisted dynamic integration of multiple medical thesauruses.

We have previously described a user-interactive rule-based computer program (Dyna-SaurI) designed for dynamic thesaurus integration, and demonstrated its efficacy on integrating dermatological subsets of the MeSH and SNOMED thesauruses. In the present study, we have refined our rules for merging and mapping multiple thesauruses and tested these rules. We then applied them with a set of optimized parameters to the integration of a third thesaurus, a subset of the International Coding Index for Dermatology, with the Integrated MeSH-SNOMED thesaurus. The parameter changes resulted in improved ranking of more specific and conceptually closer terms.

Abstracting and Indexing↗
PubMedDate not supplied

Use of computer graphic images in teaching dermatology.

A microcomputer-based system for copying, storing, retrieving, and displaying color still images was assembled from commercially available components. The system was tested against 35-mm color photographic transparencies by measuring the performance of 91 medical students in a task of identifying the primary morphology of eight skin lesion images from the displayed images. There was no significant difference in the students' performance between the two display media.

Computer Graphics↗