Probabilistically predicting penetrating injury for decision support

Author

Ogunyemi, Omolola ; Webber, Bonnie ; Clarke, John R.

Author_Institution

Center for Human Modeling & Simulation, Pennsylvania Univ., Philadelphia, PA, USA

fYear

1998

fDate

12-14 Jun 1998

Firstpage

44

Lastpage

49

Abstract

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

Keywords

Bayes methods; data visualisation; decision support systems; diagnostic reasoning; interactive systems; medical diagnostic computing; medical expert systems; uncertainty handling; 3D structural reasoning; Bayesian networks; anatomic structures; bullet path hypotheses; computer models; decision support; diagnostic reasoning; gunshot wounds; human anatomy; interactive 3D graphical system; penetrating injury; probabilistic prediction; visualization; Anatomical structure; Bayesian methods; Computational modeling; Computer graphics; Computer networks; Human anatomy; Injuries; Medical services; Surgery; Wounds;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Lubbock, TX

ISSN

1063-7125

Print_ISBN

0-8186-8564-6

Type

conf

DOI

10.1109/CBMS.1998.701224

Filename

701224