Ordered logistic regression with artificial neural network models for variable selection for prediction of hypertension patient outcomes
The purpose of this study is to demonstrate the best strategy for the variable selection, using the developed Ordered Logistic Regression (OLR) and Multilayer Perceptron Neural Network (MLP). At the first stage, all the selected variables will be a screen for their important relationship point of vi...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sapporo Ika Daigaku
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/86061/7/86061_Ordered%20logistic%20regression%20with%20artificial%20neural.pdf http://irep.iium.edu.my/86061/ https://www.maejournal.com/article/ordered-logistic-regression-with-artificial-neural-network-models-for-variable-selection-for-prediction-of-hypertension-patient-outcomes |
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Internet
http://irep.iium.edu.my/86061/7/86061_Ordered%20logistic%20regression%20with%20artificial%20neural.pdfhttp://irep.iium.edu.my/86061/
https://www.maejournal.com/article/ordered-logistic-regression-with-artificial-neural-network-models-for-variable-selection-for-prediction-of-hypertension-patient-outcomes