Research Article
A Key Node Mining Method Based on Acupoint-Disease Network (ADN): A New Perspective for Exploring Acupoint Specificity
Table 4
The top five most frequent diagnoses and prescribed acupoints.
| | Diagnosis pattern code frequency (n) | Acupoint frequency (%) |
| U61
460 | ST36
32 (7.0%) | ST35
27 (5.9%) | LI4
26 (5.7%) | SP6
25 (5.4%) | SP10
21 (4.6%) | U62
432 | LI4
38 (8.8%) | ST36
37 (8.6%) | LR3
36 (8.3%) | KI3
25 (5.8%) | SP6
21 (4.9%) | U71
424 | KI3
40 (9.4%) | SP6
25 (5.9%) | KI7
18 (4.2%) | BL23
16 (3.8%) | LI4
15 (3.5%) | U65
397 | LR3
49 (12.3%) | LI4
38 (9.6%) | CV17
26 (6.5%) | GV20
24 (6.0%) | SP6
24 (6.0%) | U63
378 | ST36
39 (10.3%) | LI4
33 (8.7%) | CV12
32 (8.5%) | PC6
24 (6.3%) | ST40
21 (5.6%) |
|
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