Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

An Approach to Automated Extraction of Diagnostic Rules From the Text of Clinical Guidelines for Decision Support Systems

Authors
Ruslan Vafin, Rashit Nasyrov, Rustem Zulkarneev
Corresponding Author
Ruslan Vafin
Available Online 10 November 2020.
DOI
10.2991/aisr.k.201029.003How to use a DOI?
Keywords
decision support system, medicine, clinical guidelines, natural language processing, syntactic analysis, dependency grammar, phrase structure grammar
Abstract

Currently, there is a large amount of accumulated medical knowledge about various diseases, formalized in the form of clinical guidelines. For general practitioners, it is difficult to remember several dozen documents, due to information overloaded. To solve this problem, medical decision support systems (DSS) are used. Those DSS based on digitized clinical guidelines, which are used to help doctors make more accurate diagnoses and prescribe treatment to patients. Periodic updating of clinical practice guidelines raises an additional problem with timely updates to the rules in the DSS. Natural language analysis methods were used to extract information from clinical guidelines. As a result of the analysis of natural language analysis methods, the dependency grammar method was chosen as the most suitable for the Russian language. In conclusion we has been built a prototype of a program for extracting information from the text of clinical guidelines. This program allows extracting of “if-then” rules in the “treatment” Chapter, whose performance has been tested on clinical guidelines for various diseases.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
Series
Advances in Intelligent Systems Research
Publication Date
10 November 2020
ISBN
10.2991/aisr.k.201029.003
ISSN
1951-6851
DOI
10.2991/aisr.k.201029.003How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ruslan Vafin
AU  - Rashit Nasyrov
AU  - Rustem Zulkarneev
PY  - 2020
DA  - 2020/11/10
TI  - An Approach to Automated Extraction of Diagnostic Rules From the Text of Clinical Guidelines for Decision Support Systems
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 12
EP  - 18
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.003
DO  - 10.2991/aisr.k.201029.003
ID  - Vafin2020
ER  -