Skip to main content
Log in

ANABEL: Intelligent blood-gas analysis in the intensive care unit

  • Published:
International journal of clinical monitoring and computing

Abstract

ANABEL (ANalysis of Acid-Base status by Evaluating Lisp) is a prototype medical intelligent decision-support system aiming to assist clinicians in an Intensive Care Unit environment with the interpretation of blood-gas measurements. Its architecture is based on the merging of representations for declarative (domaindescriptive) and procedural (problem-solving) medical knowledge. The system performs diagnosis in two stages (tentative and differential) by first evaluating elementary computational units of procedural knowledge (procedures) and then abstracting their symbolic outputs in generating text. Thus, a ‘semantic trace’ is built which reflects the system's line of reasoning in reaching its conclusion. This paper describes the design aspects, development and clinical validation of ANABEL.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

ANABEL:

Analysis of Acid-Base status by Evaluating Lisp

CDS:

Computer-assisted Decision Support

ICU:

Intensive Care Unit

MIDSS:

Medical Intelligent Decision Support System

References

  1. Zarkadakis G. Development of an intelligent decision-support system for acid-base diagnosis in high-dependency units. PhD Thesis. London: City University, 1989.

    Google Scholar 

  2. Walmsley RN, Guerin MD. Disorders of fluid and electrolyte balance. London: Wright, 1984.

    Google Scholar 

  3. Rumelhart DE, Norman DA. Representation of knowledge. In: Aitenhead AM, Slack JM, eds. Issues in cognitive modelling. London: Laurence Elbroum Assoc. Lit., 1985.

    Google Scholar 

  4. Newell A. The knowledge level. Artif Intell 1982; 18: 87–127.

    Article  Google Scholar 

  5. Paysha F. Medical diagnosis and cybernetics. Mechanisation of thought processes, NPL Symp No 10, 1959; II: 635–59.

  6. Minsky M. A framework for representing knowledge. In: Winston P., ed. The psychology of computer vision. New York: McGraw-Hill, 1975.

    Google Scholar 

  7. Miller P. The evaluation of artificial intelligence systems in medicine. Comp Meth Prog Biomed, 1986; 22: 5–11.

    CAS  Google Scholar 

  8. Yu VL, Fagan LM, Wraith SM, Clancey WJ, Scott AC, Hannigan J, Blum RL, Buchanan BG, Cohen SN. Antimicrobial selection by a computer: a blinded evaluation by infectious disease experts. JAMA, 1979; 242: 1279–89.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zarkadakis, G., Carson, E.R., Cramp, D.G. et al. ANABEL: Intelligent blood-gas analysis in the intensive care unit. J Clin Monit Comput 6, 167–171 (1989). https://doi.org/10.1007/BF01721029

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01721029

Key words

Navigation