Artificial Intelligence in Medicine
Volume 37, Issue 3 , Pages 167-176 , July 2006

Using ontologies linked with geometric models to reason about penetrating injuries

Received 15 April 2005 ,Revised 22 March 2006 ,Accepted 23 March 2006.

References 

  1. West JG, Trunkey DD, Lim RC. Systems of trauma care. A study of two counties. Arch Surg. 1979;114(4):455–460
  2. Virtual Soldier Project. http://www.virtualsoldier.net/summary.htm, 2004. Accessed March 21, 2006.
  3. Rosse C, Mejino JL. A reference ontology for biomedical informatics: the Foundational Model of Anatomy. J Biomed Inform. 2003;36(6):478–500
  4. Noy NF, Musen MA, Mejino JLV, Rosse C. Pushing the envelope: challenges in a frame-based representation of human anatomy. Data Knowl Eng. 2004;48(3):335–359
  5. Smith MK, Welty C, McGuinness D. OWL Web Ontology Language Guide, http://www.w3.org/TR/owl-guide/, 2004. Accessed March 21, 2006.
  6. Ackerman MJ, Yoo TS. The Visible Human Data Sets (VHD) and Insight Toolkit (ITk): Experiments in Open Source Software. Proc AMIA Symp. 2003;773
  7. Lu K, Clark JW, Ghorbel FH, Ware DL, Bidani A. A human cardiopulmonary system model applied to the analysis of the Valsalva maneuver. Am J Physiol Heart Circ Physiol. 2001;281(6):H2661–H2679
  8. Bassingthwaighte JB. Back to fundamentals: anatomy-based physiological bioengineering. Ann Biomed Eng. 2000;28(7):701–703
  9. Freeman KM, Thompson SF, Allely EB, Sobel AL, Stansfield SA, Pugh WM. A virtual reality patient simulation system for teaching emergency response skills to U.S. Navy medical providers. Prehospital Disaster Med. 2001;16(1):3–8
  10. Ogunyemi OI, Clarke JR, Ash N, Webber BL. Combining geometric and probabilistic reasoning for computer-based penetrating-trauma assessment. J Am Med Inform Assoc. 2002;9(3):273–282

PII: S0933-3657(06)00052-2

doi: 10.1016/j.artmed.2006.03.006

Artificial Intelligence in Medicine
Volume 37, Issue 3 , Pages 167-176 , July 2006

Article Tools

* Image Usage & Resolution