Skip to main content
SpringerLink
Log in

Parsimonious Systems Description: A Necessary First Step in the Development of Predictive Indicators

  • Chapter
Computers and Control in Clinical Medicine

Abstract

This chapter deals with some of the problems inherent in the development of predictive models designed for the use of decision makers, particularly in the areas of medicine and health care. The need for such models is based on the realisation that neither individual nor societal problems can any longer be considered in isolation, because the manner in which particular solutions are sought affects, in general, much larger populations than those struggling directly with the problem under consideration (Attinger and Theodoridis, 1975). In decision theory these “side effects” are called opportunity cost and reflect the cost of those material and non-material resources that are no longer available for general needs once they have been committed to the solution of a specific problem.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Adams, J. M., Del Presto, P. V., Anne, A., and Attinger, E. O., 1977, Techniques in the consolidation, characterization and expression of physiologic signals in the time domain, Proc. IEEE, 65: 689.

    Article  Google Scholar 

  • Ahuja, D., 1978, “Correlates of Health Indicators”, Ph.D. Thesis, University of Virginia.

    Google Scholar 

  • Alonso, W., 1968, Predicting best with imperfect data, J. Am. Inst. Plan., 34: 248.

    Article  Google Scholar 

  • Anderson, O. W.,and Shields, M. C., 1982, Quality measurement and control in physician decision making: state of the art, Health Services Res., 17: 125.

    Google Scholar 

  • Andrews, D. F., 1972, Plots of high dimensional data, Biometrics, 28: 125.

    Article  Google Scholar 

  • Attinger, E. O., 1968, Analysis of pulsatile blood flow, Adv. Biomed. Eng. Med. Phys., 1: 1.

    PubMed  Google Scholar 

  • Attinger, E. O., 1981, The high cost of modern medical technology, in: “Proc. 7th Brazilian Congress on Biomedical Engineering”: 139.

    Google Scholar 

  • Attinger, E. O., and Attinger, F. M. L., 1973, Hierarchy levels in the control of blood flow to the hind leg of the dog, Kybernetic, 13: 195.

    Article  Google Scholar 

  • Attinger, E. O., and Attinger, F. M. L., 1978, Changes in blood flow distribution during the application of multiple stress, in: “Dynamics and Regulation of Arterial System”, R. D. Bauer and R. Busse, eds., Springer-Verlag, Heidelberg:162.

    Google Scholar 

  • Attinger, E. O., and Attinger, F. M. L., 1982, Organizational aspects of cardiac control, in: “Cardiovascular System Dynamics. Models and Measurements”, T. Kenner, R. Busse and H. Hinghofer- Szalkay, eds., Plenum, New York:99.

    Google Scholar 

  • Attinger, E. O., and Theodoridis, G. C., 1975, Engineering approaches,to societal systems, Adv. Biomed. Eng., 5: 217.

    Google Scholar 

  • Attinger, E. O., Henry, D. T., Attinger, F. M. L., Adams, J. M., and Anne, A., 1978, Biological control hierarchies I: Simulations by a three-level ten-component adaptive model, IEEE Trans. Syst. Man and Cybern., SMC-8: 11.

    Google Scholar 

  • Attinger, E. O., Sugawara, H., Novaro, A., Mikami, T., and Martin, R., 1967, Flow patterns in the peripheral circulation of anesthetized dogs, Angiologica, 4: 1.

    PubMed  Google Scholar 

  • Barnett, G. O., 1982, The computer and clinical judgement, N. Engl. J. Med., 307: 493.

    Article  PubMed  Google Scholar 

  • Bergman, R. N., and Cobelli, C., 1980, Minimal modeling, partition analysis and the estimation of insulin sensitivity, Fed. Proc., 39: 110.

    PubMed  Google Scholar 

  • Bleich, H. L., 1972, Computerbased consultation: Electrolyte and acidbase disorders, Am. J. Med., 53: 285.

    Article  PubMed  Google Scholar 

  • Blois, M. S., 1980, Clinical judgement and computers, N. Engl. J. Med., 303: 192.

    Article  PubMed  Google Scholar 

  • Breslow, L., 1972, A quantitative approach to the WHO definition of health, Int. J. Epidemiol., 1: 347.

    Article  PubMed  Google Scholar 

  • Diaconis, P., and Efron, B., 1983, Computer intensive methods in statistics, Sci. Am., 248 (May): 96.

    Article  Google Scholar 

  • Duda, R. O., and Shortliffe, E. H., 1983, Expert systems research, Science, 220: 261.

    Article  PubMed  Google Scholar 

  • Eddy, D. M., and Clanton, C. H., 1982, The art of diagnosis, N. Engl. J. Med., 306: 1263.

    Article  PubMed  Google Scholar 

  • Engle, R. L., and Davis, B. J., 1963, Medical diagnosis, present, past and future, Arch. Intern. Med., 112: 512.

    PubMed  Google Scholar 

  • Forgenstern, O., 1963, “On the Accuracy of Economic Observations”, Princeton University Press, Princeton.

    Google Scholar 

  • Friedman, R. B. and Gustafson, D. H., 1977, Computers in clinical medicine: a critical review, Comput. Biomed. Res., 10: 199.

    Article  PubMed  Google Scholar 

  • Frye, R. L., and Frommer, P. L., 1982, Consensus development con-ference on coronary bypass surgery, Circulation, 65 (suppl. 2).

    Google Scholar 

  • Gardner, H. R., and Ashby, W. R., 1970, Connectance of large dynamic systems: critical values of stability, Nature, 228: 784.

    Article  PubMed  Google Scholar 

  • Garfinkel, D., 1980, Computer modeling, complex biological systems and their simplification, Am. J. Physiol., 239: R1.

    PubMed  Google Scholar 

  • Glantz, S. A., 1980, Biostatistics: how to detect, correct and prevent errors in the medical literature, Circulation, 61: 1.

    PubMed  Google Scholar 

  • Goldman, L., Weinberg, M., Weisberg, M., Olshen, R., Cook, E. F., Sargent, K., Lamas, G. A., Dennis, C., Wilson, C., Deckel-baum, L., Fineberg, H., and Stiratelli, R., 1982, A computer derived protocol to aid in the diagnosis of emergency room patients with acute chest pain, N. Engl. J. Med., 307: 588.

    Article  PubMed  Google Scholar 

  • Goldman, L., Sayson, R., Robbins, S., Cohn, L. H., Bettmann, M., and Weisberg, M., 1983, The value of the autopsy in three medical eras, N. Engl. J, Med., 308: 1000.

    Article  Google Scholar 

  • Gong, G. D., 1982, “Cross-validation, The Jackknife and the Bootstrap: Excess Error Estimation in Forward Logistic Regression”, Ph.D. Thesis, Stanford University.

    Google Scholar 

  • Guyton, A. C., Coleman, T. G., and Granger, H. J., 1972, Circulation: overall regulation, Annu. Rev. Physiol., 34: 13.

    Article  Google Scholar 

  • Hocking, R. R., 1983, Developments in linear regression methodology, 1959-1982, Technometrics, 25: 219.

    Article  Google Scholar 

  • Kahn, H., and Wiener, A. J., 1967, “The Year 2000”, Macmillan, New York.

    Google Scholar 

  • Keyfitz, N., 1979, Understanding world models, Behav. Sci., 24: 190.

    Article  Google Scholar 

  • Koran, L. M., 1975, The reliability of clinical methods, data and judgements, N. Engl. J. Med., 293:642 and 695.

    Article  PubMed  Google Scholar 

  • Kruskal, J. B., 1964, Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis, Psychometrika, 29:1 and 115.

    Article  Google Scholar 

  • Levy, M. N., 1976, Cardiac and vascular factors that determine systemic blood flow, Circ. Res., 44: 739.

    Google Scholar 

  • McCall, V., 1983, Ambulatory monitoring of blood pressure, presented at “18th Annual Meeting of the Association for the Advancement of Medical Instrumentation”, Dallas.

    Google Scholar 

  • Mountford, M. D., 1969, A test of difference between clusters, in: “Statistical Ecology”, G. P. Patil, ed., Pennsylvania State University Press, University Park, PA.:237.

    Google Scholar 

  • Pennock, B., and Attinger, E. O., 1968, Optimization of the oxygen transport system, Biophys. J., 8: 879.

    Article  PubMed  Google Scholar 

  • Rompelman, O., and Kitney, R. I. (eds.), 1983, Analysis of heart rate variability and blood pressure fluctuations, Automedica, 4(4).

    Google Scholar 

  • Shortliffe, E. H., Buchanan, B. G., and Feigenbaum, E. A., 1979, Knowledge engineering for medical decision making, Proc. IEEE, 67: 1207.

    Article  Google Scholar 

  • Siegel, J. H., Farrell, E. J., Fichthorn, J., Lajos, T. Z., Lee, A.B. Schimert, G., and Eberhardt, R. C., 1975, The use of multivariate trajectories in defining normal and abnormal time courses of recovery after coronary bypass surgery, J. Surg. Res., 18: 341.

    Article  PubMed  Google Scholar 

  • Smith, O. A., Astley, C. A., De Vito, J. L., Stein, J. M., and Walsh, K. E., 1980, Functional analysis and hypothalamic control of the cardiovascular responses accompanying emotional behavior, Fed. Proc., 39: 2487.

    PubMed  Google Scholar 

  • Stone, M., 1974, Cross-validatory choice and assessment of statistical predictions, J. R. Stat. Soc., B36: 111.

    Google Scholar 

  • Szolovits, P., and Pauker, S. G., 1978, Categorical and probabilistic reasoning in medical diagnosis, Artif. Intell., 11: 115.

    Article  Google Scholar 

  • Tatum, E. L., 1967, Molecular biology, nucleic acids and the future of medicine, in: “Reflections on Research and the Future of Medicine”, C. F. Lyght, ed., McGraw-Hill, New York.

    Google Scholar 

  • Tversky, A., and Kahneman, D., 1981, The framing of decisions and the psychology of choice, Science, 211: 453.

    Article  PubMed  Google Scholar 

  • Yamamoto, W. S., and Walton, E. S., 1975, On the evolution of the physiological model, Annu. Rev. Biophys. Bioeng., 4: 81.

    Article  PubMed  Google Scholar 

Download references

Authors
  1. E. O. Attinger
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. The City University, London, England

    Ewart R. Carson

  2. Royal Free Hospital School of Medicine, London, England

    Derek G. Cramp

Rights and permissions

Reprints and permissions

Copyright information

© 1985 Plenum Press, New York

About this chapter

Cite this chapter

Attinger, E.O. (1985). Parsimonious Systems Description: A Necessary First Step in the Development of Predictive Indicators. In: Carson, E.R., Cramp, D.G. (eds) Computers and Control in Clinical Medicine. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2437-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-2437-9_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9482-5

  • Online ISBN: 978-1-4613-2437-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation