Evaluation of a medical diagnosis system using simulator test scenarios

Artificial Intelligence in Medicine

Volumn 11, Issue 2, 1997, Pages 119-140

  Larsson, Jan Eric ^a,b   Hayes Roth, B ^a   Gaba, D M ^a   Smith, B E ^a  

^a STANFORD UNIVERSITY   (United States)

^b LUND INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Diagnosis; Evaluation; Intensive care; Knowledge based systems; Monitoring; Simulators

Indexed keywords

CARDIOVASCULAR SURGERY; COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; INTENSIVE CARE UNITS; PATIENT MONITORING; PERFORMANCE; SIMULATORS;

MEDICAL DIAGNOSIS SYSTEM; POST CARDIAC SURGERY;

KNOWLEDGE BASED SYSTEMS;

ARTICLE; COMPUTER PROGRAM; HEART SURGERY; INTENSIVE CARE; PATIENT MONITORING; PRIORITY JOURNAL; RECOVERY ROOM; SIMULATION;

EID: 0031260533     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(97)00027-4     Document Type: Article

References (16)

1. D. Ash, G. Gold, A. Seiver, B. Hayes-Roth, Guaranteeing real-time response with limited resources, Artif. Intell. Med. 5 (1) (1993) 49-66.
2. D. Ash, B. Hayes-Roth, A comparison of action-based hierarchies and decision trees for real-time performance, Proc. 11th Nat. Conf. Artificial Intelligence, Washington, D.C., 1993.
3. M. Dojat, L. Brochard, F. Lamaire, A. Harf, A knowledge-based system for assisted ventilation of patients in intensive care units, Int. J. Clin. Monit. Comput. 9 (4) (1992) 239-250.
4. J.A. Drakopoulos, B. Hayes-Roth, A fuzzy and structural pattern recognition system of multi-variate time-dependent patterns based on sigmoidal functions, Technical report, KSL-94-42, Knowledge Systems Laboratory, Stanford University, California, 1994.
5. A.S. Elstein, L.S. Shulman, S.A. Sprafka, Medical Problem Solving, Harvard University Press, Cambridge, Massachusetts, 1978.
6. C. Friedman, J. Wyatt, Evaluation Methods in Medical Informatics, Springer Verlag, New York, 1996.
7. D.M. Gaba, The human work environment and anesthesia simulators, in: R.D. Miller (Ed.), Anesthesia, Churchill Livingstone, New York, 1994, pp. 2635-2679.
8. S.G. Greenhow, D.A. Linkens, A.J. Asbury, Pilot study on an expert system advisor for controlling general anesthesia, Br. J. Anesth. 71 (3) (1993) 359-365.
9. B. Hayes-Roth, A Blackboard Architecture for Control, Artif. Intell. 26 (3) (1985) 251-321.
10. B. Hayes-Roth, An architecture for adaptive intelligent systems, Artif. Intell., Special Issue on Agents and Interactivity, 72 (l)-2 (1995) 329-365.
11. B. Hayes-Roth, J.E. Larsson, A domain-specific software architecture for a class of intelligent patient monitoring agents, J. Exp. Theoret. Artif. Intell. 8 (2) (1996) 149-171.
12. B. Hayes-Roth, S. Uckun, J.E. Larsson, J. Drakopoulos, D.M. Gaba, J. Barr, J. Chien, Guardian: an experimental system for intelligent intensive-care unit monitoring, in: Proc. 18th Annu. Symp. on Computer Applications in Medical Care, Washington D.C., 1994.
13. B. Hayes-Roth, R. Washington, D. Ash, R. Hewett, A. Collinot, A. Viña, A. Seiver, Guardian: a prototype intelligent agent for intensive-care monitoring, Artif. Intell. Med. 4 (2) (1992) 165-185.
14. M.E. Johnston, K.B. Langsten, R.B. Haynes, D.A. Matthieu, A critical appraisal of research on the effects of computer-based decision support systems on clinician performance and patient outcome, Ann. Intern. Med. 120 (1994) 135-142.
15. J.E. Larsson, Knowledge-based methods for control systems, Doctor's thesis, TFRT-1040, Department of Automatic Control, Lund Institute of Technology, Lund, 1992.
16. J.E. Larsson, Diagnostic reasoning strategies for means-end models, Automatica 30 (5) (1994) 775-787.