A Method for Solving Medical Treatment Problems in Hospitals of China based on Multi-Dimensions Data Analysis

DOI

10.2991/icsshe-15.2015.86How to use a DOI?

Keywords

Over Medical Treatment, Medical Data, Multi-Dimensions Analysis, K-dominant Skyline Operator

Abstract

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.

Copyright

© 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/).

Download article (PDF)

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  -