Literature DB >> 3668412

On the use of statistics for representing the knowledge acquired from experts in a medical consulting system.

M Fujikake1, S P Ninomija, H Fujita.   

Abstract

For making medical consulting systems, it is important and significant to select and devise the method for representing the knowledge acquired from professional experts. As quantities of data required for consultation are increasing according to the progress of medical science, we have to introduce some new kinds of statistics into a medical consultation system. From another point of view, since the process of diagnosis of experts is considered to be a kind of effective model for compressing (or condensing) data quantitatively and qualitatively, we discuss the use of statistics for representing the knowledge acquired from experts from the standpoint of data compression.

Mesh:

Year:  1987        PMID: 3668412     DOI: 10.1007/bf00994010

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  5 in total

1.  AUDITORY EVOKED RESPONSES DURING DIFFERENT STAGES OF SLEEP IN MAN.

Authors:  E D WEITZMAN; H KREMEN
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1965-01

2.  An electronic method for detecting evoked responses of the brain and for reproducing their average waveforms.

Authors:  J S BARLOW
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1957-05

3.  A summation technique for the detection of small evoked potentials.

Authors:  G D DAWSON
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1954-02

4.  Power spectral analysis of flash and click evoked responses.

Authors:  A E Davis
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1973-09

5.  [Automatic classification of sleep staging by autoregressive model of EEG].

Authors:  K Katano; N Ishii; A Iwata; N Suzumura; M Terashima
Journal:  Iyodenshi To Seitai Kogaku       Date:  1982-04
  5 in total
  3 in total

1.  Statistical approaches to nonstationary EEGs for the detection of slow vertex responses.

Authors:  M Fujikake; S P Ninomija; H Fujita
Journal:  J Med Syst       Date:  1989-06       Impact factor: 4.460

2.  An estimation of a model explaining the mechanism causing neurotic disorders using a theory of fuzzy sets.

Authors:  M Fujikake; S P Ninomija; M Kanou; S Takahasi
Journal:  J Med Syst       Date:  1988-08       Impact factor: 4.460

3.  A coded summation method to measure evoked responses of human beings.

Authors:  M Fujikake; S P Ninomija; H Fujita
Journal:  J Med Syst       Date:  1989-10       Impact factor: 4.460

  3 in total

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