A real-world data analysis-based study of Chinese medicine treatment patterns after breast cancer surgery.

Based on the real clinical data of Hospital Information System to explore the common clinical syndromes of traditional Chinese medicine after breast cancer surgery, analysis of traditional Chinese medicine in the treatment of breast cancer after the compatibility law. The real medical records of breast cancer patients after surgery in a tertiary hospital in Sichuan Province were collected and screened to build a medical record database. Python language was used for data preprocessing to remove outliers and fill in missing values. Using International Business Machines Corporation (IBM) Statistical Product and Service Solutions (SPSS) Modeler software, Apriori association rules algorithm for data analysis, mining Chinese medicine treatment of breast cancer after common syndromes and the corresponding medication rules. A total of 472 cases of clinical real medical record data were included. Data analysis showed that there were 42 TCM syndromes after breast cancer surgery, of which the highest frequency was liver depression and spleen deficiency, qi deficiency and blood stasis, qi stagnation and blood stasis, qi and blood deficiency, qi and yin deficiency, phlegm and blood stasis. A total of 416 kinds of traditional Chinese medicine were involved. High-frequency drugs included angelica sinensis, coix seed, bupleurum, ginger magnolia bark, keel, oyster, astragalus, platycodon grandiflorum, antler frost, vinegar tortoise shell, poria cocos, lily, Jianqu, Ophiopogon japonicus (Maidong), Shancigu, etc. A total of 18 pairs of commonly used drug combinations were excavated, such as Fushen-Gancao-Chaihu-Angelica, Huangqi-Baishao-Jianghoupu, Chaihu-Huanhua-Maidong-Lily, Baizhu-Huangqi-Maidong, Fuling-Baishao, etc. The clinical syndrome type of traditional Chinese medicine after breast cancer surgery is mainly liver depression and spleen deficiency syndrome. The clinical treatment is mainly soothing liver and relieving depression, and harmonizing liver and spleen. Analyze the syndrome type and the corresponding drug compatibility law, and provide decision support for the clinical dialectical prescription of traditional Chinese medicine after breast cancer surgery.

Medical prediction from missing data with max-minus negative regularized dropout.

Missing data is a naturally common problem faced in medical research. Imputation is a widely used technique to alleviate this problem. Unfortunately, the inherent uncertainty of imputation would make the model overfit the observed data distribution, which has a negative impact on the model generalization performance. R-Drop is a powerful technique to regularize the training of deep neural networks. However, it fails to differentiate the positive and negative samples, which prevents the model from learning robust representations. To handle this problem, we propose a novel negative regularization enhanced R-Drop scheme to boost performance and generalization ability, particularly in the context of missing data. The negative regularization enhanced R-Drop additionally forces the output distributions of positive and negative samples to be inconsistent with each other. Especially, we design a new max-minus negative sampling technique that uses the maximum in-batch values to minus the mini-batch to yield the negative samples to provide sufficient diversity for the model. We test the resulting max-minus negative regularized dropout method on three real-world medical prediction datasets, including both missing and complete cases, to show the effectiveness of the proposed method.

Acupoint catgut embedding therapy for functional constipation: A protocol for systematic review and meta-analysis.

BACKGROUND: This review will assess current evidence related to the effectiveness and safety of acupoint catgut embedding therapy for functional constipation (FC) and provide efficacy assessments for clinical applications. METHODS: We will search the following databases for relevant trials: PubMed, EMBASE OVID, Cumulative Index of Nursing and Allied Health Literature, OVID MEDLINE, Web of Science, the Cochrane Central Register of Controlled Trials, Cochrane library, and Scopus. We will also search the following Chinese databases for trials published in the Chinese literature: China National Knowledge Infrastructure Database (CNKI), Chinese Scientific Journals Database, Wan Fang Database, Chinese Biomedicine and other resources from inception to December 2020. Only randomized controlled trials comparing acupoint catgut embedding versus acupuncture or sham acupuncture or placebo or other therapies will be included. The outcomes involved mean spontaneous bowel movements, complete spontaneous bowel movements, the Bristol Stool Form Scale, the Cleveland Clinic Score, Patient Assessment of Constipation symptom and so on. The risk of bias assessment and quality of evidence for outcomes will be appraised using the Cochrane Risk of Bias Tool and the Grading of Recommendations, Assessment, Development and Evaluation guidelines. RevMan 5.3 software will be employed for the meta-analysis. RESULTS: This work will compare and arrange the comparative efficacy of acupoint catgut embedding with different treatments for FC by summarizing the current evidences. CONCLUSION: The results of this meta-analysis may help doctors determine the best treatments for patients to manage FC. ETHICS AND DISSEMINATION: This is a protocol with no patient recruitment and personal information collection, approval by the ethics committee is not required. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/XTKE2.

Efficacy and safety of Buzhong Yiqi decoction combined with surgery for rectal prolapse: A protocol for systematic review and meta analysis.

BACKGROUND: It is extremely easy for rectal prolapse to relapse with surgery alone. Clinical practice indicates that Buzhong Yiqi decoction combined with surgery has certain therapeutic advantages, while there is a lack of evidence-based medicine support. This study aimed to systematically investigate the efficacy and safety of Buzhong Yiqi decoction combined with surgery in the treatment of rectal prolapse. METHODS: The English databases (PubMed, Embase, Web of Science, the Cochrane Library) and Chinese databases (China National Knowledge Infrastructure [CNKI], Wanfang, China Science and Technology Journal Database [VIP], China Biology Medicine disc) were searched by computer. In addition, Baidu Scholar and Google Scholar were searched manually. A randomized controlled clinical study of Buzhong Yiqi decoction combined with surgery in the treatment of rectal prolapse was performed from the establishment of databases to September 2020. Two investigators independently conducted data extraction and assessed the literature quality of the included studies. The Revman5.3 software was used for meta-analysis of the included literature. RESULTS: The efficacy and safety of Buzhong Yiqi decoction combined with surgery in the treatment of rectal prolapse were evaluated in terms of efficiency, symptom score, recurrence rate, adverse reaction rate, and so on. CONCLUSIONS: Thisstudy provides reliable evidence-based support for the clinical application of Buzhong Yiqi decoction combined with surgery in the treatment of rectal prolapse. OSF REGISTRATION NUMBER: DOI: 10.17605/OSF.IO/K3PJX.

A bibliometric analysis and visualization of medical data mining research.

BACKGROUND: Data mining technology used in the field of medicine has been widely studied by scholars all over the world. But there is little research on medical data mining (MDM) from the perspectives of bibliometrics and visualization, and the research topics and development trends in this field are still unclear. METHODS: This paper has applied bibliometric visualization software tools, VOSviewer 1.6.10 and CiteSpace V, to study the citation characteristics, international cooperation, author cooperation, and geographical distribution of the MDM. RESULTS: A total of 1575 documents are obtained, and the most frequent document type is article (1376). SHAN NH is the most productive author, with the highest number of publications of 12, and the Gillies's article (750 times citation) is the most cited paper. The most productive country and institution in MDM is the USA (559) and US FDA (35), respectively. The Journal of Biomedical Informatics, Expert Systems with Applications and Journal of Medical Systems are the most productive journals, which reflected the nature of the research, and keywords "classification (790)" and "system (576)" have the strongest strength. The hot topics in MDM are drug discovery, medical imaging, vaccine safety, and so on. The 3 frontier topics are reporting system, precision medicine, and inflammation, and would be the foci of future research. CONCLUSION: The present study provides a panoramic view of data mining methods applied in medicine by visualization and bibliometrics. Analysis of authors, journals, institutions, and countries could provide reference for researchers who are fresh to the field in different ways. Researchers may also consider the emerging trends when deciding the direction of their study.