基于关联规则的互联网医疗服务平台在肿瘤患者诊疗管理中的应用
Application of Internet Medical Service Platform Based on Association Rules in Diagnosis and Treatment Management of Cancer Pa-tients
王晨宇 1田龙 1潘利民 1赵丽娟 1远婧 1黄先涛 1贾玉梅 1田甜1
作者信息
- 1. 河北北方学院附属第一医院 河北 张家口 075000
- 折叠
摘要
目的 探讨基于FP-Growth算法的有效强关联规则分析在肿瘤患者诊疗管理中的应用.方法 在现有互联网医疗服务平台和电子病历系统基础上增加FP-Growth算法功能,通过FP-Growth算法挖掘 2017 年 12 月-2021 年 12 月样本医院肿瘤放射治疗中心 2 075 例患者和其中高危群体患者基线资料间的有效强关联规则,并将之用于肿瘤放射治疗中心.结果 FP-Growth算法共反馈有效强关联规则 15 条,其中全部患者 10 条、高危群体患者 5 条,根据反馈结果调整了肿瘤放射治疗中心患者的治疗方案.结论 增加了FP-Growth算法功能的互联网医疗服务平台具有临床应用价值.
Abstract
Objective To explore the application of effective strong association rule analysis based on FP-Growth algorithm in the diagnosis and treatment management for cancer patients.Methods FP-Growth algorithm function was added to the existing Internet medical service platform and electronic medical record system.The FP-Growth algo-rithm was used to mine the effective strong association rules between the baseline data of 2 075 patients in the tumor ra-diation therapy center of the sample hospital from December 2017 to December 2021 and the patients in high-risk groups,and the rules were applied to the tumor radiation therapy center.Results FP-Growth algorithm provided 15 effective strong association rules,including 10 for all the patients,5 for the high-risk groups.Based on the feedback results,the treatment plan of the patients in the tumor radiation therapy center was adjusted.Conclusion The Inter-net medical service platform with the function of FP-Growth algorithm has clinical application value.
关键词
FP-Growth算法/有效强关联规则/互联网医疗/肿瘤患者/诊疗管理Key words
FP-Growth Algorithm/Effective Strong Association Rule/Internet Medical Care/Tumor Patients/Diag-nosis and Treatment Management引用本文复制引用
基金项目
河北省医学科学研究课题计划项目(20240224)
出版年
2024
NETL
NSTL
万方数据