Journal article
Probabilistic predictions of penetrating injury to anatomic structures
Proceedings - AMIA Annual Fall Symposium, v 4, pp 714-718
01 Jan 1997
PMID: 9357718
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents an interactive 3D graphical system which allows the user to visualize different bullet path hypotheses and stab wound paths and computes the probability that an anatomical structure associated with a given penetration path is injured. Probabilities can help to identify those anatomical structures which have potentially critical damage from penetrating trauma and differentiate these from structures that are not seriously injured.
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Details
- Title
- Probabilistic predictions of penetrating injury to anatomic structures
- Creators
- O. Ogunyemi - Center for Human Modeling and Simulation, Univ. of Pennsylvania, Philadelphia 19104-6389, USAB. Webber - Center for Human Modeling and Simulation, Univ. of Pennsylvania, Philadelphia 19104-6389, USAJ. R. Clarke - University of Pennsylvania
- Publication Details
- Proceedings - AMIA Annual Fall Symposium, v 4, pp 714-718
- Publisher
- American Medical Informatics Association
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000171774300143
- Scopus ID
- 2-s2.0-0347840299
- Other Identifier
- 991019169416704721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Health Care Sciences & Services
- Information Science & Library Science
- Medical Informatics