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Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis

  • Aleksandra VatianEmail author
  • Anna Tatarinova
  • Svyatoslav Osipov
  • Nikolai Egorov
  • Vitalii Boitsov
  • Elena Ryngach
  • Tatiana Treshkur
  • Anatoly Shalyto
  • Natalia Gusarova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11871)

Abstract

Information technologies play an invaluable role in improving the quality of medical care. New diagnostic technologies based on processing large medical data sets are being actively introduced into clinical practice, which, in turn, generates the new arrays of data. The natural solution here is the clinical information systems (CIS) which help the physicians in clinical decision making as well as in training and research. In this paper we propose FCA approach for retrieving and processing information suitable for using in CIS, first of all in the aspect of knowledge, from clinical algorithm. FCA in proposed form represents the clinical process as a sequence of decisions being made by the physician during the diagnosis (or treatment) in order to reach the desired diagnostic (or respectively treatment) state. In order to analyze the effectiveness of these decisions in relation to a specific clinical process we propose the necessary indices and metrics. The application of the proposed formalisms is illustrated by the example of a real clinical process.

Keywords

Clinical information systems Formal concept analysis Clinical process 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Aleksandra Vatian
    • 1
    Email author
  • Anna Tatarinova
    • 2
  • Svyatoslav Osipov
    • 1
  • Nikolai Egorov
    • 1
  • Vitalii Boitsov
    • 1
  • Elena Ryngach
    • 2
  • Tatiana Treshkur
    • 2
  • Anatoly Shalyto
    • 1
  • Natalia Gusarova
    • 1
  1. 1.ITMO UniversitySt. PetersburgRussia
  2. 2.Almazov National Medical Research CentreSt. PetersburgRussia

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