A Computer-assisted Diagnostic Decision System for Dyspepsia

  • R. P. Knill-Jones
  • W. M. Dunwoodie
  • G. P. Crean


Dyspepsia is a common problem in the community and a frequent reason for attendance at a G.P.’s surgery. A proportion of patients are referred to hospital for further investigations, many of which prove to be negative. It has been argued that many of the inappropriate investigations could be avoided given more accurate or more confident diagnoses made when the patient first presents to a doctor (BMJ, 1978). Availability of simple diagnostic aids might help towards this general aim. However these aids take a considerable amount of time and work to develop, and require extensive evaluation before being acceptable for routine use.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Anonymous. British Medical Journal, (1978) 1, 1163–1164.CrossRefGoogle Scholar
  2. Card, W.I., Nicholson, M., Crean, G.P., Watkinson, G., Evans, C.R. and Wilson, J., (1974) International Journal of Bio-Medical Computing, 5, 175–187.PubMedCrossRefGoogle Scholar
  3. Card, W.I., and Lucas, R.W., (1981) International Journal of Man-Machine Studies, 14, 49–57.CrossRefGoogle Scholar
  4. Hannay, D.R., (1978) The Symptom Iceberg. Routledge & Kegan Paul.Google Scholar
  5. Lucas, R.W., Card, W.I., Knill-Jones, R.P., Watkinson, G. and Crean, G.P. (1976) British Medical Journal, 2, 623–625.PubMedPubMedCentralCrossRefGoogle Scholar
  6. Lucas, R.W., (1977) International Journal of Man-Machine Studies, 9, 69–86.CrossRefGoogle Scholar
  7. Spiegelhalter, D.J., and Knill-Jones, R.P., (1984) Journal of the Royal Statistical Society (A), 147, 35–77.CrossRefGoogle Scholar
  8. Teach, R.L., and Shortliffe, E.H. (1981) Computing and Biomedical Research, 14, 542–587.CrossRefGoogle Scholar

Copyright information

© R.P. Knill-Jones, W.M. Dunwoodie and G.P. Crean 1985

Authors and Affiliations

  • R. P. Knill-Jones
  • W. M. Dunwoodie
  • G. P. Crean

There are no affiliations available

Personalised recommendations