Research on Application Paradigm of Random Sampling Method in Data Analysis of Traditional Chinese Medicine—Taking Insomnia Prescriptions of Famous Old Tcm Physicians as an Example

Author:

Xi Chongcheng,Zhang Jie,Xiao Yao,Liu Jintao,Liu Wenping,Tian Dong,Liu Yongguo,Zhai Shuangqing,Ye Hua

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference47 articles.

1. RAM:Atractylodes Macrocephala Rhizoma ) 3.2 Apriori algorithm model results 3.2.1 Basic information of Apriori algorithm model As can be seen from Figure 7, among the five strong learners, the output results of the first,second,third,forth,fifth strong learners are generally stable, so the strong association rules obtained from one of them is the final result. Meanwhile, changes in support degree of strong association rules in each sample are extracted and visualized, as shown in Figure 7. Figure 7. The change graph of the support degree of strong association rules of strong learner;Polygalae Radix,AT:Acorus Tatarinowii,PG:Panax Ginseng,OJ:Ophiopogon Japonicus,RP:Pseudostellariae Radix,PCRP:Poria cum Radix Pini,BC:Bupleurum Chinense,PMTC:Polygoni Multiflori Caulis

2. Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study;H Zhang;JMIR Med Inform,2020

3. Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology;Y Xiang;Biomed Res Int,2021

4. Application and Development of Intelligent Medicine in Traditional Chinese Medicine;Y Y Duan;Curr Med Sci,2021

5. Machine Learning Approaches in Traditional Chinese Medicine: A Systematic Review;H Chen;Am J Chin Med,2021

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