计算机技术与发展2024，Vol.34Issue(10)：156-163,8.DOI:10.20165/j.cnki.ISSN1673-629X.2024.0188
基于三维子轨迹聚类算法的临床路径挖掘方法
A Clinical Pathway Mining Approach Based on 3D Sub-trajectory Clustering Algorithm
摘要
Abstract
Aiming at the problem that the formulation and implementation of clinical pathways are affected by the hospital's own conditions and the complexity of diseases,we propose a clinical pathway mining method based on the three-dimensional sub-trajectory clustering algorithm.According to the characteristics of clinical diagnosis and treatment process data with regularity and temporal sequence,the proposed method first converts a large amount of clinical diagnosis and treatment process data into three-dimensional time-sequential trajectories that approximate the flight trajectories,and adjusts the distribution of trajectories using time-weighted methods.Second,based on the traditional TRACLUS algorithm,K-dimension tree is used to accelerate the optimization of neighborhood search,and the similarity measure in Hilbert space is introduced to make it adaptable to high-dimensional trajectory clustering.Finally,by clustering and analyzing a large number of trajectories,a typical clinical diagnosis and treatment process is extracted from them,and then a clinical pathway is obtained for actual implementation.A series of experiments were conducted on the clinical data of neonatal hypoglycemia in a tertiary hospital,and the results confirmed that the proposed method can extract the clinical pathways actually implemented in various local situations,which can help doctors formulate a more personalized treatment plan,and the results of the experi-ments provide a direction and a strong basis for the improvement and implementation of the standard clinical pathways for neonatal hypo-glycemia.关键词
数据挖掘/临床路径/TRACLUS算法/轨迹聚类/KD树/时间加权Key words
data mining/clinical pathways/TRACLUS algorithm/trajectory clustering/K-dimension tree/time weighting分类
信息技术与安全科学引用本文复制引用
刘玉江,罗双红,郑庆霄..基于三维子轨迹聚类算法的临床路径挖掘方法[J].计算机技术与发展,2024,34(10):156-163,8.基金项目
2021-2023 年四川省高等教育人才培养质量和教学改革项目(JG2021-995) （JG2021-995）
四川大学"从0 到1"创新研究项目(2023SCUH0016) （2023SCUH0016）
成都信息工程大学2022 年教师科技创新能力提升计划项目(KYTD202239) （KYTD202239）
