Research Article
[Retracted] SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine
Table 2
The clinical characteristics of the training dataset with CKD.
| ā | Deficiency of Qi and blood (918) | Retention of dampness and blood stasis (639) | Blood stasis in collaterals (444) | Retention of water in the body (399) |
| Female (948) | 507 (53.5%) | 237 (25.0%) | 222 (23.4%) | 228 (24.1%) | Male (1011) | 411 (40.7%) | 402 (39.8%) | 222 (22.0%) | 171 (16.9%) | Nephrotic syndrome (1272) | 885 (69.6%) | 627 (49.3%) | 330 (25.9%) | 372 (29.2%) | Diabetes (426) | 57 (13.4%) | 12 (2.8%) | 105 (24.6%) | 24 (5.6%) | Chronic nephritis (300) | 117 (39%) | 81 (27.0%) | 6 (2.0%) | 6 (2.0%) | Hypertension (192) | 15 (7.8%) | 0 | 39 (20.3%) | 6 (3.1%) | Cerebral embolism (174) | 171 (98.3%) | 42 (24.1%) | 108 (62.1%) | 102 (58.6%) | Hyperuricemia (102) | 30 (29.4%) | 51 (50.0%) | 3 (2.9%) | 9 (8.9%) | Hyperlipidemia (96) | 6 (6.3%) | 3 (3.1%) | 9 (9.4%) | 3 (3.1%) | Membranous nephropathy (84) | 51 (60.7%) | 36 (42.6%) | 24 (28.6%) | 15 (17.9%) | IgA nephropathy (78) | 15 (19.2%) | 39 (50.0%) | 3 (3.8%) | 6 (7.7%) |
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