Prediction model of artificial neural network for the risk of hyperuricemia incorporating dietary risk factors in a Chinese adult study
Background: Risk of hyperuricemia (HU) has been shown to be strongly associated with dietary factors. However, there is scarce evidence on prediction models incorporating dietary factors to estimate the risk of HU. Objective: The aim of this study was to develop a prediction model to predict the ris...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Swedish Nutrition Foundation
2020-01-01
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| Series: | Food & Nutrition Research |
| Subjects: | |
| Online Access: | https://foodandnutritionresearch.net/index.php/fnr/article/view/3712/10055 |