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Probabilistically predicting penetrating injury for decision support

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3 Author(s)
Ogunyemi, O. ; Center for Human Modeling & Simulation, Pennsylvania Univ., Philadelphia, PA, USA ; Webber, B. ; Clarke, J.R.

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

Published in:

Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on

Date of Conference:

12-14 Jun 1998