EconPapers    
Economics at your fingertips  
 

Application of Clinical Diagnosis and Treatment Data of Coronary Heart Disease Based on Association Rules

Kun Zhang, Xiaoyan Chen, Haifeng Wang and Yufei Wang
Additional contact information
Kun Zhang: College of Ocean Information Engineering, Hainan Tropical Ocean University
Xiaoyan Chen: College of Ocean Information Engineering, Hainan Tropical Ocean University
Haifeng Wang: College of Ocean Information Engineering, Hainan Tropical Ocean University
Yufei Wang: College of Ocean Information Engineering, Hainan Tropical Ocean University

Chapter Chapter 41 in Recent Developments in Data Science and Business Analytics, 2018, pp 367-372 from Springer

Abstract: Abstract According to the characteristics of Chinese medicine diagnosis and treatment of coronary heart disease and the need for mining, this paper will introduce the association rules mining, from the medical treatment of patients with all aspects of the disease and the basis of coronary heart disease diagnosis and treatment of Chinese medicine between the basis of digging out the law of Chinese medicine, the application of association rules algorithm, Get a series of rules of coronary heart disease syndrome, for the diagnosis and prevention of coronary heart disease provides an important basis for decision-making.

Keywords: Association rules; Data mining; Data medical treatment; Intelligent data analysis (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-72745-5_41

Ordering information: This item can be ordered from
http://www.springer.com/9783319727455

DOI: 10.1007/978-3-319-72745-5_41

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:prbchp:978-3-319-72745-5_41