Prediction the best predictor for urea reading among diabetic patients using artificial neural networks (ANNS) models
This study aims to develop the Artificial Neural Network (ANN) through Multilayer Perceptron Neural Network (MLP) by considering the bootstrapping methodology. Applying the bootstrapping approach in MLP methodology improves the precision of the related urea level determination factor. This model dev...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Cancer Research Institute, Sapporo Medical University
2021
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/30309/1/Prediction%20the%20best%20predictor%20for%20urea%20reading%20among%20diabetic%20patients%20using%20artificial%20neural%20networks%20%28ANNS%29%20models%20FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/30309/3/Prediction%20the%20best%20predictor%20for%20urea%20reading%20among%20diabetic%20patients%20using%20artificial%20neural%20networks%20%28ANNS%29%20models%20ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/30309/ https://www.maejournal.com/volume/SMJ/55/01/prediction-the-best-predictor-for-urea-reading-among-diabetic-patients-using-artificial-neural-networks-anns-models-601ac303de7bf.pdf |
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https://eprints.ums.edu.my/id/eprint/30309/1/Prediction%20the%20best%20predictor%20for%20urea%20reading%20among%20diabetic%20patients%20using%20artificial%20neural%20networks%20%28ANNS%29%20models%20FULL%20TEXT.pdfhttps://eprints.ums.edu.my/id/eprint/30309/3/Prediction%20the%20best%20predictor%20for%20urea%20reading%20among%20diabetic%20patients%20using%20artificial%20neural%20networks%20%28ANNS%29%20models%20ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/30309/
https://www.maejournal.com/volume/SMJ/55/01/prediction-the-best-predictor-for-urea-reading-among-diabetic-patients-using-artificial-neural-networks-anns-models-601ac303de7bf.pdf