Construction of Guideline-Based Decision Tree for Medication Recommendation.

Q3 Health Professions
Wei Zhao, Xuehan Jiang, Ke Wang, Xingzhi Sun, Gang Hu, Guotong Xie
{"title":"Construction of Guideline-Based Decision Tree for Medication Recommendation.","authors":"Wei Zhao, Xuehan Jiang, Ke Wang, Xingzhi Sun, Gang Hu, Guotong Xie","doi":"10.3233/SHTI200015","DOIUrl":null,"url":null,"abstract":"<p><p>Clinical decision support system (CDSS) plays an essential role nowadays and CDSS for treatment provides clinicians with the clinical evidence of candidate prescriptions to assist them in making patient-specific decisions. Therefore, it is essential to find a partition of patients such that patients with similar clinical conditions are grouped together and the preferred prescriptions for different groups are diverged. A comprehensive clinical guideline often provides information of patient partition. However, for most diseases, the guideline is not so detailed that only limited circumstances are covered. This makes it challenging to group patients properly. Here we proposed an approach that combines clinical guidelines with medical data to construct a nested decision tree for patient partitioning and treatment recommendation. Compared with pure data-driven decision tree, the recommendations generated by our model have better guideline adherence and interpretability. The approach was successfully applied in a real-world case study of patients with hyperthyroidism.</p>","PeriodicalId":39242,"journal":{"name":"Studies in Health Technology and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Health Technology and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI200015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0

Abstract

Clinical decision support system (CDSS) plays an essential role nowadays and CDSS for treatment provides clinicians with the clinical evidence of candidate prescriptions to assist them in making patient-specific decisions. Therefore, it is essential to find a partition of patients such that patients with similar clinical conditions are grouped together and the preferred prescriptions for different groups are diverged. A comprehensive clinical guideline often provides information of patient partition. However, for most diseases, the guideline is not so detailed that only limited circumstances are covered. This makes it challenging to group patients properly. Here we proposed an approach that combines clinical guidelines with medical data to construct a nested decision tree for patient partitioning and treatment recommendation. Compared with pure data-driven decision tree, the recommendations generated by our model have better guideline adherence and interpretability. The approach was successfully applied in a real-world case study of patients with hyperthyroidism.

构建基于指南的用药推荐决策树。
如今,临床决策支持系统(CDSS)发挥着至关重要的作用,治疗用 CDSS 为临床医生提供了候选处方的临床证据,帮助他们做出针对患者的决策。因此,必须对患者进行分区,将临床情况相似的患者归为一组,并区分不同组别的首选处方。综合性临床指南通常会提供患者分区信息。然而,对于大多数疾病而言,指南并不详细,只涉及有限的情况。因此,对患者进行适当分组具有挑战性。在此,我们提出了一种将临床指南与医疗数据相结合的方法,以构建嵌套决策树,用于患者分区和治疗推荐。与纯数据驱动的决策树相比,我们的模型生成的建议具有更好的指南遵循性和可解释性。该方法已成功应用于甲状腺功能亢进症患者的实际案例研究中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Studies in Health Technology and Informatics
Studies in Health Technology and Informatics Health Professions-Health Information Management
CiteScore
1.20
自引率
0.00%
发文量
1463
期刊介绍: This book series was started in 1990 to promote research conducted under the auspices of the EC programmes’ Advanced Informatics in Medicine (AIM) and Biomedical and Health Research (BHR) bioengineering branch. A driving aspect of international health informatics is that telecommunication technology, rehabilitative technology, intelligent home technology and many other components are moving together and form one integrated world of information and communication media.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信