Design and implementation of medication recommending system for chronic hepatitis B
10.7687/j.issn1003-8868.2017.07.048
- VernacularTitle:慢性乙型肝炎用药推荐系统的设计与实现
- Author:
liang Ya JI
1
;
Yang ZHENG
Author Information
1. 东南大学附属第二医院信息科
- Keywords:
medication recommending system for chronic hepatitis B;
multi-label classification;
algorithm;
Java language;
patient satisfaction
- From:
Chinese Medical Equipment Journal
2017;38(7):48-51
- CountryChina
- Language:Chinese
-
Abstract:
Objective To design and implement a medication recommending system for chronic hepatitis B (CHB) in order to predict CHB inpatient clinical medication.Methods The system was designed and realized with improved ML-KNN algorithm,training the multi-label data set extracted from HIS database,Java framework technology as well as MyEclipse9.0 platform.Results The system could predict the clinical medication of the CHB inpatient,and enhanced the CHB inpatient satisfaction greatly.Conclusion The system is of practical value for the the clinical medication of the CHB inpatient,and thus is worthy promoting practically.
