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Prediction of Diabetes Diseases by Building a Machine Learning Model

http://hdl.handle.net/20.500.12678/0000007432
25dc4ffb-8a05-443b-9180-1ed0a7b63933
d8a01011-7d41-4906-b1e1-8c2dc87e6fa6
None
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Prediction_of_Diabetes_Diseases_by_Building_a_Machine_Learning_Model.pdf Prediction_of_Diabetes_Diseases_by_Building_a_Machine_Learning_Model.pdf (522 KB)
Publication type
Journal article
Upload type
Publication
Title
Title Prediction of Diabetes Diseases by Building a Machine Learning Model
Language en
Publication date 2019-12-13
Authors
Hnin Ei Ei Cho
Nan Yu Hlaing
Description
The aim of this paper is to compare the six different learning algorithms in order to predict diabetes in patients more accurately using the Pima-Indians-Diabetes Dataset obtained from UCI Machine Learning repository site, the Centre for Machine Learning and Intelligent Systems at the University of California, Irvine
Keywords
parsing, stochastic parsing, stochastic context free grammar, parse tree.
Journal articles
No-1
University Journal of Research and Innovation, UCS(Pakokku)
9-14
Vol-1
0
0
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