Applying Data Mining techniques when making medical diagnostic decisions

DOI

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.

Copyright

© 2016, 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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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  - Proceedings of the 2016 Conference on 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  - 10.2991/itsmssm-16.2016.48
ID  - Mokina2016/05
ER  -