Applying Data Mining techniques when making medical diagnostic decisions
Elena Mokina, Olga Marukhina, Mariya Shagarova
Available Online May 2016.
- https://doi.org/10.2991/itsmssm-16.2016.48How to use a DOI?
- Data Mining, information systems, decision support system, SF-36, HADS_T
- 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.
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 -