The Application of a Decision Tree to Establish the Parameters Associated with Hypertension

Highlights • A major strength of the present study is that it was performed in a large number of samples and provides an appropriate vision regarding the application of decision tree for investigating predicators associated with hypertension in a representative sample of the Iran population. • In th...

Full description

Saved in:
Bibliographic Details
Published in:Computer methods and programs in biomedicine 2017-02, Vol.139, p.83-91
Main Authors: Tayefi, Maryam, Esmaeili, Habibollah, Karimian, Maryam Saberi, Zadeh, Alireza Amirabadi, Ebrahimi, Mahmoud, Safarian, Mohammad, Nematy, Mohsen, Parizadeh, Seyed Mohammad Reza, Ferns, Gordon A, Ghayour-Mobarhan, Majid
Format: Article
Language:English
Subjects:
Adult
C-Reactive Protein - analysis
Cross-Sectional Studies
Data mining
Decision tree
Decision Trees
Female
Humans
Hypertension
Hypertension - complications
Internal Medicine
Iran
Male
Middle Aged
Other
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Highlights • A major strength of the present study is that it was performed in a large number of samples and provides an appropriate vision regarding the application of decision tree for investigating predicators associated with hypertension in a representative sample of the Iran population. • In the current study, Hs-CRP was considered as a new component that has not been entered in existing models as a risk factor of hypertension until yet. • The new insight in this study was using blood count parameters as input variables.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2016.10.020