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Neural networks and expert systems in acute & primary medicine - reflections on a decade of research studies

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Języki publikacji
EN
Abstrakty
EN
The paper describes studies undertaken in the use of artificial intelligence (AI) technologies in decision-making in (a) the selection of pacemakers, and in the clinical management of (a) asthma and (b) osteoporosis. The specific studies described include an on-going study in a health authority in the UK and earlier studies undertaken in the University of London at St George's Hospital Medical School within acute medicine and primary care medicine. The first investigations were carried out at St George's Hospital Medical School and were in acute medicine e.g. investigations of the potential of expert systems for post infarct risk stratification and for the selection of arificial pacemakers [10, 11]. The investigations then moved on to primary care medicine exploring the potential of neural networks in asthma screening [8, 9]. More recently, a study has been made of neural networks in the clinical management of osteoporosis. This paper reflects on the lessons gained from these AI activities which have lasted over a decade.
Twórcy
autor
  • Research Centre for Public Services Management, The Busines School, South Bank University, London, UK
autor
  • Public Health Medicine, West Sussex Health Authority, Goring-by-Sea, Worthing, West Sussex, UK
Bibliografia
  • [1] DE ZEGHER, I., VENOT, A., MOUSTAKIS, V., TALMON, J., LANE, VP., et al. IRHIS - An intelligent, adaptive information retrieval system as hospital information system front end. AIM conference in Seville, Spain, Advances in Medical Informatics, Vol. 2, pp 188-198, 1992
  • [2] DODDS, Sr., Neural Networks, The Lancet, Vol. 346, 2 Dec, pp. 1500-1501, 1995
  • [3] FOX, J., and DAS, S., Safe and sound - AI in hazardous applications, MIT Press, 2000
  • [4] FREIDMAN, CP. ELSTEIN, AS., WOLF, FM., and MURPHY, GC., et al., Enhancements of clinicians' diagnostic reasoning by computer based consultation - a multisite study of two systems. JAMA., Vol. 282, pp. 1851-1856, 1999.
  • [5] KANIS, JA., DELMAS, P. BURCKHARDT, C. COOPER, C., and TORGERSON, D., Guidelines for diagnosis and management of osteoporosis. Osteoporosis International, Vol. 7. pp. 390-406, 1997.
  • [6] LANE, VP., The evolution of computer-based information systems in specialist tasks in the professions, Doctoral Thesis, London, 1996
  • [7] LANE VP. LANE, D., and LITTLEJOHNS, P., Neural networks for decision making related to asthma diagnosis and other respiratory disorders In B. Richards et al. (Editors) Current Perspectives in Healthcare Computing 1996 - Proceedings of HC'96, held in the Harrogate Conference Centre, pp. 85-93, BJHC, Weybridge, Surrey, 1996.
  • [8] LANE, VP., and LITTLEJOHNS, P., Neural networks, asthma and screening aids, The Lancet, Research Letter, Vol. 346, pp. 1500-1501, 2nd December 1995.
  • [9] LANE, VP., LITTLEJOHNS, P., and LANE, D., The use of AI techniques for decision making in primary health care, In: S Teasdale (Editor) The British Computer Society's 15th Annual Conference on Primary Health Care Computing, pp. 74-86, Downing College, Cambridge University, 1996
  • [10] LANE, VP., and MOGHADDAM., N. An expert system for selection of artificial pacemakers and lessons learned from its development. The DTI / British Computer Society's 15th Annual Conference on Expert Systems, Vol. 2, Applications & Innovations, pp. 263-274, Queens' College, Cambridge University, December 1995
  • [11] MALCOLM, AD., MOGHADDAM, N., and CAMM, AJ., PacePert - An expert system to guide choice and programming of cardiac pacemakers, 40th Annual Scientific Session, American College of Cardiology, 1991
  • [12] MOGHADDAM, N., and LANE, VP., Verification and evaluation of expert systems, Current Perspectives in HealthCare Computing, pp. 123-128, BJHC Books, Weybridge, 1991.
  • [13] RAE, SA., WANG, WJ., and PARTRIDGE, D., Artificial Neural Networks - a potential role in osteoporosis. J Royal Society of Medicine, Vol. 92, No. 3, pp. 119-122, London, March 1999.
  • [14] WYATT, JC., Decision support systems, J Royal Society of Medicine, Vol. 93, No. 12, pp. 629-633, London, December, 2000.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6c57ca3e-d5f9-4df3-95fe-f78f4b9b1aa4
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