scholarly journals Acceptability of Traditional Chinese Medicine in Chinese People Based on 10-Year's Real World Study With Mutiple Big Data Mining

2022 ◽  
Vol 9 ◽  
Author(s):  
Yan Guo ◽  
Tengjiao Wang ◽  
Wei Chen ◽  
Ted J. Kaptchuk ◽  
Xilian Li ◽  
...  
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Real World ◽  
Large Scale ◽  
Point Of View ◽  
Highly Educated ◽  
The Past ◽  
Medical Visits

In the past decades, numerous clinical researches have been conducted to illuminate the effects of traditional Chinese medicine for better inheritance and promotion of it, which are mostly clinical trials designed from the doctor's point of view. This large-scale data mining study was conducted from real-world point of view in up to 10 years' big data sets of Traditional Chinese Medicine (TCM) in China, including both medical visits to hospital and cyberspace and contemporaneous social survey data. Finally, some important and interesting findings appear: (1) More Criticisms vs. More Visits. The intensity of criticism increased by 2.33 times over the past 10 years, while the actual number of visits increased by 2.41 times. (2) The people of younger age, highly educated and from economically developed areas have become the primary population for utilizing TCM, which is contrary to common opinions on the characteristics of TCM users. The discovery of this phenomenon indicates that TCM deserves further study on how it treats illness and maintains health.

Large scale adverse event data mining for targeted therapies development.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 2538-2538
Author(s):  
Mayur Sarangdhar ◽  
Bruce Aronow ◽  
Anil Goud Jegga ◽  
Brian Turpin ◽  
Erin Haag Breese ◽  
...  
Keyword(s):  
Data Mining ◽  
Clinical Trials ◽  
Adverse Event ◽  
Big Data ◽  
Real World ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Large Scale ◽  
Checkpoint Inhibitors ◽  
Anaplastic Lymphoma

2538 Background: Targeted anti-cancer small molecule drugs & immune therapies have had a dramatic impact in improving outcomes & the approach to clinical trials. Increasingly, regulatory approvals are expedited with small studies designed to identify strong efficacy signals. However, this may limit the extent of safety profiling. The use of large scale/big data meta-analyses can identify novel safety & efficacy signals in "real-world" medical settings. Methods: We used AERSMine, an open-source data mining platform to identify drug toxicity signatures in the FDA’s Adverse Event Reporting System of 8.6 million patients. We identified patients (n = 732,198) who received either traditional and targeted cancer therapy & identified therapy-specific toxicity patterns. Patients were classified based on exposures: anthracyclines (n = 83,179), platinum (117,993), antimetabolites (93,062), alkylators (81,507), antimicrotubule agents (97,726), HER2 inhibitors (40,040), VEGFis (79,144), VEGF-TKis (90,734), multi TKis (34,457), anaplastic lymphoma Kis (7,635), PI3K-AKT-mTOR inhibitors (33,864), Bruton TKis (9,247), MEKis (4,018), immunomodulatory agents (174,810), proteasome inhibitors (44,681), immune checkpoint inhibitors (20,287). Pharmacovigilance metrics [Relative Risks & safety signals] were used to establish statistical correlation & toxicity signatures were differentiated using the Kolmogorov–Smirnov test. Results: To validate the use of the AERSMine to detect AEs, we focused on cardiotoxicity. It identified classic drug associated AEs (e.g. ventricular dysfunction with anthracyclines, HER2is & VEGFis; VEGFi hypertension & vascular toxicity; multi TKIs vascular events). AERSMine also identified recently reported uncommon toxicities of myositis/myocarditis with immune checkpoint inhibitors. It indicated a higher frequency of myositis/myocarditis with combination immune checkpoint therapy, paralleling industry corporate safety databases. These toxicities were reported at higher frequencies in patients > 65 yrs. Conclusions: AERSMine “big data” analyses provide a sensitive tool to detect potential new patterns of AEs simultaneously across multiple clinical trials & in the real-world setting.

scholarly journals Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Jianxin Chen ◽  
Peng Lu ◽  
Xiaohan Zuo ◽  
Qi Shi ◽  
Huihui Zhao ◽  
...  
Keyword(s):  
Data Mining ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Chinese Medicine ◽  
Angina Pectoris ◽  
Traditional Chinese Medicine ◽  
Clinical Data ◽  
Morbidity And Mortality ◽  
The Past ◽  
Clinical Data Mining

Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four MI-based association algorithms to analyze phenotype networks of CHD, and established scale of syndromes to automatically generate the diagnosis of patients based on their phenotypes. We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra.

scholarly journals On the Treatment of Kidney Fibrosis from the Theory of Internal Deficiency of Qi and the Coexistence of Phlegm and Blood Stasis

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Liu Min ◽  
Leng Wei
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Theoretical Basis ◽  
Renal Fibrosis ◽  
Blood Stasis ◽  
Point Of View ◽  
Kidney Fibrosis ◽  
Cause And Effect ◽  
Pathological Characteristics ◽  
Chinese Medicine Treatment

Traditional Chinese medicine believes that the etiology and pathogenesis of renal fibrosis are characterized by deficiency of the lung, spleen and kidney, and phlegm, blood stasis, dampness and poison. The positive and the evil can influence each other and cause and effect each other, forming the pathological characteristics of the deficiency, the deficiency, the deficiency and the reality. Chinese medicine treatment of the disease has its unique advantages, external and internal injury equal emphasis, correction and dispelling evil and regulation. From the point of view of "deficiency of qi and coexistence of phlegm and blood stasis", the treatment of renal fibrosis can provide theoretical basis for the treatment of the disease.

scholarly journals Medication regularity of pulmonary fibrosis treatment by contemporary traditional Chinese medicine experts based on data mining

2018 ◽  
Vol 10 (3) ◽  
pp. 1775-1787 ◽  
Author(s):  
Suxian Zhang ◽  
Hao Wu ◽  
Jie Liu ◽  
Huihui Gu ◽  
Xiujuan Li ◽  
...  
Keyword(s):  
Data Mining ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Pulmonary Fibrosis
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