Feature Selection of Combining Relieff and Rough Set for Syndrome Classification of Chronic Gastritis in Traditional Chinese Medicine
- 10.2991/asei-15.2015.242How to use a DOI?
- Relieff; Rough Set; Multi-Label Learning; Syndrome Classification; TCM
Typically, the main form of Chinese medicine is based on interrogation of the patient's condition and artificial judgement by asking related patient symptom information; which is strongly subjective and prone to errors of judgment, leading to the wrong treatment outcome. The development in computer greatly improved the level of research in medicine, and also allowed the gradually objective and systematic improvement of experience knowledge. By analyzing TCM inquiry chronic gastritis data, the Relieff & Rough Set feature selection method was presented by combining different classification algorithms with experiments and analysis; the experimental results showed that efficient feature selection method can greatly enhance the effect of the classification; therefore, Relieff & Rough Set can be used as an efficient tool for feature selection and applied in the syndrome classification of TCM.
- © 2015, 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 - Jianjun Yan AU - Qiyue Chen AU - Guoping Liu AU - Xiong Lu AU - Yiqin Wang AU - Rui Guo PY - 2015/05 DA - 2015/05 TI - Feature Selection of Combining Relieff and Rough Set for Syndrome Classification of Chronic Gastritis in Traditional Chinese Medicine BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 1233 EP - 1237 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.242 DO - 10.2991/asei-15.2015.242 ID - Yan2015/05 ER -