Research Article
[Retracted] The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis
| | | Risk of CKD | Accuracy of ML |
| | Individuals | Pearson correlation | 1.000 | 1.000 | | Sig. (two-tailed) | 0.000 | 0.000 | | N | 20 | 20 |
| | Age | Pearson correlation | 1.000 | 1.000 | | Sig. (two-Tailed) | 0.000 | 0.000 | | N | 20 | 20 |
| | Gender | Pearson correlation | −0.087 | −0.087 | | Sig. (two-Tailed) | 0.716 | 0.716 | | N | 20 | 20 |
| | Blood creatinine | Pearson correlation | 0.406 | 0.406 | | Sig. (two-Tailed) | 0.075 | 0.075 | | N | 20 | 20 |
| | Serum albumin | Pearson correlation | −0.089 | −0.089 | | Sig. (two-Tailed) | 0.710 | 0.710 | | N | 20 | 20 |
| | Blood sugar | Pearson correlation | 1.000 | 1.000 | | Sig. (two-Tailed) | 0.000 | 0.000 | | N | 20 | 20 |
| | Potassium | Pearson correlation | 0.269 | 0.269 | | Sig. (two-Tailed) | 0.252 | 0.252 | | N | 20 | 20 |
| | Pus secretion | Pearson correlation | 1.000 | 1.000 | | Sig. (two-Tailed) | 0.000 | 0.000 | | N | 20 | 20 |
| | Bacteria | Pearson correlation | 1.000 | 1.000 | | Sig. (two-Tailed) | 0.000 | 0.000 | | N | 20 | 20 |
| | Risk of CKD | Pearson correlation | 1 | 1.000 | | Sig. (two-Tailed) | | 0.000 | | N | 20 | 20 |
| | Accuracy of ML | Pearson correlation | 1.000 | 1 | | Sig. (two-Tailed) | 0.000 | | | N | 20 | 20 |
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