Chronic Kidney Disease: A Predictive Model Using Decision Tree

International Journal of Engineering Research and Technology, 2018

Posted: 7 Jan 2019

See all articles by Vikas Chaurasia

Vikas Chaurasia

VBS Purvanchal University

Saurabh Pal

VBS Purvanchal University

B.B. Tiwari

VBS Purvanchal University

Date Written: December 9, 2018

Abstract

Data mining may be utilized in healthcare industry in actual fact to “mined” clinical information to get hidden information for intelligent and effective decision making. Advanced data processing techniques in discovery of hidden patterns and relationships may be a fruitful as remedy to the present state of affairs, principally deals with Prediction of Chronic urinary organ illness. Information covers several attributes like blood, urine, cardiovascular disease check, and external symptoms applied to predict chronic urinary organ illness.

For getting higher result several parameters are accustomed interaction between measured parameters and that is get from data processing approach, processing and information transformation of the survival of the patient. Decision Tree algorithms are used for extracting information within the kind of a collection of decision rules. The decision-making algorithm is employed to predict the survival of the CKD patient and additionally who is new and unseen. For the medical purpose more important parameters are known. During this analysis paper concept is introduced check and apply the information assortment from UCI Machine Learning Repository Chronic_Kidney_Disease information Set_files. The procedure results are evaluated during this research paper with medical significance.

Keywords: Chronic kidney disease, data mining, Clinical information, data Transformations, Decision-making algorithm

Suggested Citation

Chaurasia, Vikas and Pal, Saurabh and Tiwari, B.B., Chronic Kidney Disease: A Predictive Model Using Decision Tree (December 9, 2018). International Journal of Engineering Research and Technology, 2018. Available at SSRN: https://ssrn.com/abstract=3298343

Vikas Chaurasia (Contact Author)

VBS Purvanchal University ( email )

Shahganj Road
Jaunpur, Uttar Pradesh 222001
India
+91-9415894006 (Phone)

Saurabh Pal

VBS Purvanchal University ( email )

Shahganj Road
Jaunpur, Uttar Pradesh 222001
India

B.B. Tiwari

VBS Purvanchal University ( email )

Shahganj Road
Jaunpur, Uttar Pradesh 222001
India

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