Risk Factor Distribution of Cardiovascular Disease in Shanghai, China

Honors College Thesis

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/honors_college_theses/7d278z568

Descriptions

Attribute Name	Values
Creator	Fan, Yutong
Abstract	Nowadays, big data and data mining play a more and more important role in numerous industries. Hospital industry is no exception. Hospitals in China have one of the highest patient volumes throughout the world, and they start to take advantage of these data and information, but these valuable data are far away from being well utilized. In China, the relationship between doctors and patients are intense, and doctors get the blame regardless of whether they are the responsible party. Sometimes, it is the patient's’ behavior that causes them to be rehospitalized. This thesis used the decision tree model to mine a dataset provided by Department of Cardiology of a hospital in Shanghai, China and determine the reasons that cause the patients to come back to the hospital. Key Words: data mining, CART Tree Model
License	All rights reserved
Resource Type	Honors College Thesis
Date Available	2017-08-09T16:56:08+00:00
Date Issued	2017-06-14
Degree Level	Bachelor's
Degree Name	Honors Bachelor of Science (H.B.S.)
Degree Field	Business Information Systems
Degree Grantor	Oregon State University
Commencement Year	2017
Advisor	Zhu, Bin
Non-Academic Affiliation	Oregon State University. Honors College
Déclaration de droits	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Replaces	http://hdl.handle.net/1957/61752

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