Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Applying Data Mining techniques when making medical diagnostic decisions

Authors
Elena Mokina, Olga Marukhina, Mariya Shagarova
Corresponding Author
Elena Mokina
Available Online May 2016.
DOI
https://doi.org/10.2991/itsmssm-16.2016.48How to use a DOI?
Keywords
Data Mining, information systems, decision support system, SF-36, HADS_T
Abstract
Under the present-time conditions of the increased pace of life in large cities neurological disorders are tending to increase. The present paper considers the application of Data Mining techniques for studying medical data and building the decision support system on the basis of research results being, in the present case, the detection of the neurological disorders by the result indicators of the surveys on living standard, anxiety and depression. Throughout the use of Data Mining techniques there was built a decision tree and were established the reasoning rules, which provided the basis for the decision support system. The paper presents the basic requirements for this system enabling to reduce time of the clinical staff spent on processing survey data and providing recommendations on establishing diagnoses.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Information Technologies in Science, Management, Social Sphere and Medicine
Part of series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/itsmssm-16.2016.48How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Elena Mokina
AU  - Olga Marukhina
AU  - Mariya Shagarova
PY  - 2016/05
DA  - 2016/05
TI  - Applying Data Mining techniques when making medical diagnostic decisions
BT  - Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 237
EP  - 240
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.48
DO  - https://doi.org/10.2991/itsmssm-16.2016.48
ID  - Mokina2016/05
ER  -