Conference proceeding
Probabilistically predicting penetrating injury for decision support
Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp 44-49
01 Jan 1998
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper examines an approach for integrating 3D structural reasoning, using computer models of the human anatomy, with diagnostic reasoning based on Bayesian networks in order to probabilistically predict injuries to anatomic structures from gunshot wounds. An interactive 3D graphical system has been created which allows the user to visualize different bullet path hypotheses and computes the probability that an anatomical structure associated with a given penetration path is injured. The probabilities derived are essential for mediating between structural reasoning and diagnostic reasoning.
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Details
- Title
- Probabilistically predicting penetrating injury for decision support
- Creators
- Omolola Ogunyemi - University of PennsylvaniaBonnie Webber - University of PennsylvaniaJohn Clarke - Allegheny College
- Publication Details
- Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp 44-49
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Surgery
- Web of Science ID
- WOS:000074993900008
- Other Identifier
- 991022021129804721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Medical Informatics
- Optics
- Radiology, Nuclear Medicine & Medical Imaging