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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Bibliographic Details
Main Authors: Mohamad Ghazali, Farah Muna, Wan Ahmad, Wan Muhamad Amir, Awang Nawi, Mohamad Arif, Mohd Noor, Nor Farid, Ghazalli, Nur Fatiha, Aleng, NorAzlida, Mohd Ibrahim, Mohamad Shafiq, Abdul Halim, Nurfadhlina
Format: Article
Language:English
Published: Sapporo Ika Daigaku 2020
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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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