A model to predict diabetic patient using multi-layer perceptron
This paper presents an analysis of diabetes patient data using multi-layer perception algorithm to provide the best parameter to predict further diabetes patient. The data were collected from UCI Machine Learning Repositories as a sample to build a predictive model based on several experiment conduc...
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| Main Authors: | , , , , |
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| Format: | Other |
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Universiti Tun Hussein Onn Malaysia
2010
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3050/ |
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| Summary: | This paper presents an analysis of diabetes patient data using multi-layer perception algorithm to provide the best parameter to predict further diabetes patient. The data were collected from UCI Machine Learning Repositories as a sample to build a predictive model based on several experiment conducted. We used Neural Connection 2.0 as it is simple and easy to operate and it when the parameter setting correct was based on the data provided. |
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