A Method for Solving Medical Treatment Problems in Hospitals of China based on Multi-Dimensions Data Analysis
Guanqi Xu, Liya Wang, Zhibin Jiang, Jinze Chai
Available Online December 2015.
- 10.2991/icsshe-15.2015.86How to use a DOI?
- Over Medical Treatment, Medical Data, Multi-Dimensions Analysis, K-dominant Skyline Operator
With the medical technology of China advances rapidly, over medical treatments such as expensive drug preference, over antibiotics and hormone drugs, repeated examinations and so on are also increasing. In order to mitigate the problems, this paper proposed a method of multi-dimensions data analysis to analyze historical medical data and find out the best treatments for recommendation and also the worst to avoid. An algorithm based on k-dominant Skyline Operator is used in the method to sort historical medical data of inpatient with multi-dimensions. The results can provide doctors with reasonable medical treatment advices and patients with suitable prescription respectively.
- © 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 - Guanqi Xu AU - Liya Wang AU - Zhibin Jiang AU - Jinze Chai PY - 2015/12 DA - 2015/12 TI - A Method for Solving Medical Treatment Problems in Hospitals of China based on Multi-Dimensions Data Analysis BT - Proceedings of the 2015 International Conference on Social Science and Higher Education PB - Atlantis Press SP - 341 EP - 345 SN - 2352-5398 UR - https://doi.org/10.2991/icsshe-15.2015.86 DO - 10.2991/icsshe-15.2015.86 ID - Xu2015/12 ER -