Paper Info
Title
A Method of Electronic Medical Record Similarity Computation.
Abstract
With the development of electronic healthcare, more and more medical institutions begin to use the information system to manage their patient's health records as well as other healthcare data. Electronic medical records (EMR) contain the patient's personal information, medical history, clinical examination, treatment process, and other information, which have large research value. Today, enormous number of electronic medical records accumulated through the hospital information system all over the world. Analyzing these EMRs can effectively assist doctors in clinical decision-making, provide data support for clinical research as well as personalized healthcare service for patients. This paper presents a EMR similarity computation system. The system accepts EMRs collected from hospitals as input, go through a series of process, and eventually calculates the similarity of any two EMRs. An diseases classification experiment was designed to illustrate the effectiveness of the method. This system lays the foundation for further analysis of electronic medical records.
Year
DOI
Venue
2016
10.1007/978-3-319-59858-1_18
Lecture Notes in Computer Science
Keywords
DocType
Volume
Electronic health record,Similarity computation,Disease classification,KNN classifier
Conference
10219
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Ziping He100.68
Ji-Jiang Yang223235.53
Qing Wang32399.21
Jianqiang Li4474.44