Title :
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
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;
Conference_Titel :
Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on
Conference_Location :
Lubbock, TX
Print_ISBN :
0-8186-8564-6
DOI :
10.1109/CBMS.1998.701224
