Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials
Abstract
:1. Introduction
2. Methods
2.1. Data Extraction Process
2.2. Data Analysis of Acupoint Selection Using Forward Inference
2.3. Data Analysis of Acupoint Indication Using Reverse Inference
2.4. Bayes Factor Correction of Acupoint Indication
3. Results
3.1. Patterns of Acupoint Selection for 30 Diseases Using Forward Inference
3.2. Patterns of Acupoint Indications for 49 Acupoints Using Reverse Inference
3.3. Specificity of Acupoint Indications Using Bayes Factor Correction
3.4. Two Different Patterns of Acupoint Indications
4. Discussion
Author Contributions
Funding
Conflicts of Interest
References
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Type I (Regional Acupoints, n = 17) | |
BL23 (back) | Low back pain (BF = 10.12) |
BL25 (back) | Low back pain (BF = 36.87) |
BL60 (feet) | Acute ankle sprain (BF = 13.47) |
CV3 (abdomen) | Polycystic ovarian syndrome (BF = 18.53) |
CV4 (abdomen) | Dysmenorrhea (BF = 5.51) |
CV12 (abdomen) | Irritable bowel syndrome (BF = 8.29) |
EX-HN3 (head) | Depression (BF = 6.36) |
EX-HN5 (head) | Episodic migraine (BF = 9.03) |
GB20 (head) | Hypertension (BF = 3.94) |
GB30 (lower limb) | Hip osteoarthritis (BF = 53.94) |
GB34 (lower limb) | Peripheral joint osteoarthritis (BF = 7.60) |
GB40 (feet) | Acute ankle sprain (BF = 38.50) |
KI3 (feet) | Acute ankle sprain (BF = 5.39) |
PC7 (upper limb) | Carpal tunnel syndrome (BF = 35.31) |
SP9 (lower limb) | Peripheral joint osteoarthritis (BF = 9.39) |
ST25 (abdomen) | Irritable bowel syndrome (BF = 33.16) |
ST29 (abdomen) | Subfertility (BF = 27.09) |
Type II (Distal Acupoints, n = 7) | |
BL40 (lower limb) | Low back pain (BF = 32.26) |
HT7 (upper limb) | Insomnia (BF = 3.68) |
LI10 (upper limb) | Chronic kidney disease (BF = 105.3) |
LI11 (upper limb) | Hypertension (BF = 6.60), Acute stroke (BF = 6.57) |
LU7 (upper limb) | Chronic asthma (BF = 22.48) |
SP8 (lower limb) | Dysmenorrhea (BF = 17.56) |
ST40 (lower limb) | Schizophrenia (BF = 5.29) |
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Hwang, Y.-C.; Lee, I.-S.; Ryu, Y.; Lee, Y.-S.; Chae, Y. Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials. J. Clin. Med. 2020, 9, 3027. https://doi.org/10.3390/jcm9093027
Hwang Y-C, Lee I-S, Ryu Y, Lee Y-S, Chae Y. Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials. Journal of Clinical Medicine. 2020; 9(9):3027. https://doi.org/10.3390/jcm9093027
Chicago/Turabian StyleHwang, Ye-Chae, In-Seon Lee, Yeonhee Ryu, Ye-Seul Lee, and Younbyoung Chae. 2020. "Identification of Acupoint Indication from Reverse Inference: Data Mining of Randomized Controlled Clinical Trials" Journal of Clinical Medicine 9, no. 9: 3027. https://doi.org/10.3390/jcm9093027