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MULTI-SCALE CLINICAL PATHWAY MINING METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM

机译:多尺度临床途径采矿方法和设备,计算机设备和存储介质

摘要

A multi-scale clinical pathway mining method and apparatus, a computer device and a storage medium. The method comprises: converting usage data of items used by a plurality of users each day into an item usage matrix, and denoting the item usage matrix as m*n, wherein m represents the sum of all hospital stays of all the users, n represents the number of all items, and each row in the item usage matrix represents the items used by one user in one day (S101); taking each row in the item usage matrix as a user·day, and clustering similar users·days according to the similarities between the various users·days (S102); and using cores of clusters to represent doctor-visiting pathways of the various users, performing serialization representation on the doctor-visiting pathways of the various users, then mining frequent sequences from doctor-visiting pathway sequences, and taking the frequent sequences as the main clinical pathways (S103). By means of the present method, the rationality and variability of an actual clinical operation can be better reflected.
机译:多尺度临床途径采矿方法和装置,计算机装置和存储介质。该方法包括:将多个用户每天使用的项目的使用数据转换为项目使用矩阵,并将项目使用矩阵表示为M * n,其中M表示所有用户的所有医院住宿的总和n代码项目使用矩阵中的所有项目的数量,以及项目使用矩阵中的每一行表示一个用户在一天内使用的项目(S101);在项目使用矩阵中将每一行作为用户·日,并群集类似用户·日天数根据各种用户之间的相似之处·天(S102);并使用集群的核心来代表各种用户的医生访问途径,对各种用户的医生访问途径进行序列化表示,然后从博士学位途径序列中开采频繁序列,并将频繁序列作为主要临床临床途径(S103)。借助于本方法,可以更好地反映实际临床操作的合理性和可变性。

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