Medical Data Probabilistic Analysis by Optical Computing Methods

Authors

  • Alexander LARKIN
  • Michel GROSMANN
  • Kirill TRUKHANOV

Keywords:

Medical diagnostics, Optical computing, Statistical distributions

Abstract

The purpose of this article to show the laser coherent photonics methods can be use for classification of medical information. It is shown that the holography methods can be used not only for work with images.  Holographic methods can be used for processing of information provided in the universal multi-parametric form. It is shown that along with the usual correlation algorithm enable to realize a number of algorithms of classification: searching for a precedent, Hamming distance measurement, Bayes probability algorithm, deterministic and “correspondence” algorithms. Significantly, that preserves all advantages of holographic method – speed, two-dimension, record-breaking high capacity of memory, flexibility of data processing and representation of result, high radiation resistance in comparison with electronic equipment. For example is presented the result of solving one of the problems of medical diagnostics - a forecast of organism state after mass traumatic lesions.

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Published

25.06.2014

How to Cite

1.
LARKIN A, GROSMANN M, TRUKHANOV K. Medical Data Probabilistic Analysis by Optical Computing Methods. Appl Med Inform [Internet]. 2014 Jun. 25 [cited 2024 Jul. 16];34(2):36-40. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/477

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Section

Articles