Feature selection and syndrome classification for rheumatoid arthritis patients with Traditional Chinese Medicine treatment

Xie, Jingui; Li, Yan; Wang, Ning; Xin, Ling; Fang, Yanyan; Liu, Jian

doi:10.1016/j.eujim.2020.101059

Cited by 26 publications

(6 citation statements)

References 16 publications

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“…According to Traditional Chinese Medicine (TCM) theory, RA is regarded as four syndromes including kidney and liver deficiency syndrome, blood stagnation syndrome, wind damp joint heat syndrome, and wind damp joint cold syndrome. Therefore, the systemic effects from the application of laser acupoints stimulation can make a great challenge in managing the disease [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of laser acupuncture tele-therapy for rheumatoid arthritis elderly patients

Adly

et al. 2021

Lasers Med Sci

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Rheumatoid arthritis (RA) is a progressive common autoimmune disorder and is one of the most functional limiting diseases in elderly. Until recently, its treatment is mainly based on physical locations and meetings while being face to face. However, laser acupuncture tele-therapy approaches can significantly provide the patient with safety during the COVID-19 pandemic as well as changing the disorder’s prognosis. Sixty patients were assigned randomly into 2 groups with 1:1 ratio. Patients in group A are treated remotely by laser acupuncture in addition to methotrexate and a tele-rehabilitation program in the form of aerobic exercise training. Patients in group B are treated by methotrexate and a tele-rehabilitation program in the form of aerobic exercise. There was a statistically significant difference in health assessment questionnaire (HAQ) pre- and post-treatment in group A ( p < 0.05). The C-reactive protein (CRP) and interleukin-6 (IL-6) inflammatory markers as well as the malondialdehyde (MDA) oxidative marker showed a significant reduction pre- and post-treatment in group A ( p < 0.05). Additionally, there was a significant increase in the adenosine tri-phosphate (ATP) antioxidant marker pre- and post-treatment in group A ( p < 0.05). The comparison between groups A and B showed a statistically significant post-treatment difference in RAQoL, CRP, IL-6, ATP, and MDA in group A than group B. Considering the significant improvement that was found in the laser acupuncture group, it can be concluded that the use of laser acupuncture as adjunctive was effective in the treatment of elderly patients with RA. ClinicalTrials.gov Identifier: NCT04758689

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Section: Introductionmentioning

confidence: 99%

Effects of laser acupuncture tele-therapy for rheumatoid arthritis elderly patients

Adly

et al. 2021

Lasers Med Sci

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“…The application of data mining technology has made many valuable achievements in the objectification and essence research of TCM syndrome. Between 2006 and 2020, data mining technologies used in TCM syndrome research mainly included: artificial neural network (Xie et al, 2020), cluster analysis (Xia et al, 2020), attribute partial order structure diagram (Meng & Han, 2020), convolutional neural network (Hu et al, 2019), latent tree model (Zhang, Yang, et al, 2018), attribute topology (Zhang, Liu, & Liu, 2018), frequency analysis (Wang et al, 2017), and decision tree model (Liu et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Standardization, objectification, and essence research of traditional Chinese medicine syndrome: A 15‐year bibliometric and content analysis from 2006 to 2020 in Web of Science database

Liu

2021

The Anatomical Record

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The standardization, objectification, and essence research of traditional Chinese medicine (TCM) syndrome influence the modernization and international development of TCM syndrome. A total of 253 relevant publications collected from the Web of Science Core Collection database from 2006 to 2020 were analyzed by bibliometric and content methods. The co‐occurrence analysis of countries, institutions, journals, authors, and keywords analysis were carried out by using Citespace software. The high‐yield institutions and high‐impact authors contributed to TCM syndrome publications were concentrated in China. Since 2012, driven by some groundbreaking publications, the number of TCM syndrome literatures has increased rapidly. According to the results of bibliometric and content analysis, research hotspots in TCM syndrome in the last 15 years can be summarized in six aspects: (a) objectification research of four TCM diagnostic methods, (b) omics technology for the essence research of TCM syndrome, (c) research on TCM syndrome evaluation scale, (d) metagenomic technology for the essence research of TCM syndrome, (e) data mining technology for TCM syndrome differentiation, and (f) systematic research on TCM syndromes of chronic hepatitis B. Emerging trends can be identified according to the most recent keywords bursts: (a) TCM syndrome diagnostic models with multiple indexes should be constructed to develop personalized medicine. (b) The connotation of TCM syndrome should be verified through “syndrome detecting from recipe used,” and the screened potential markers of TCM syndrome need clinical verification. (c) The intervention and integration of multi‐disciplines is expected to find a new breakthrough in the research of TCM syndrome.

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“…In the research of using dry eye as TCM syndrome to diagnose other diseases, most of them are binarization of syndrome and prediction and diagnosis based on machine learning (Hu, Li, Huang, Yan, & Huang, 2020). Yang Xie et al (2020) collected 1713 records are extracted from electronic medical records (EMR) of rheumatoid arthritis patients during the period of 2012 to 2015 in the first affiliated hospital of Anhui university of Chinese medicine, where information of demographic information, personal medical history and patients' symptoms are involved. They utilized K-nearest neighbor (KNN), support vector machine (SVM), secision tree (DT), RF, artificial neural network (ANN)and AdaBoost algorithms for feature selection and syndrome classification.…”

Section: Traditional Chinese Medicine (Tcm) Diagnosismentioning

confidence: 99%

“…They utilized K-nearest neighbor (KNN), support vector machine (SVM), secision tree (DT), RF, artificial neural network (ANN)and AdaBoost algorithms for feature selection and syndrome classification. They concluded that factors as following are helpful for DED detection, which are the tongue nature, coat of the tongue, pulse diagnosis, other information related to the demographic information and medical histories, such as gender, age, puffiness of the eyelid and dry eye (Xie et al, 2020). TCM methods are unique for dry eye diagnosis and treatment.…”

Section: Traditional Chinese Medicine (Tcm) Diagnosismentioning

confidence: 99%

A Fusion-based AI Approach for Dry Eye Disease Diagnosis using Multiple Sources of Digital Ophthalmic Data: A Bibliographic Study

Wang¹,

Xing²

2022

Preprint

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Dry eye disease (DED) is one of the most common eye diseases. There is at least one DED patient in almost every five people. AI-based research methods increasingly become the focus of DED diagnosis research. This study utilizes a systematic review method on DED AI-based diagnosis. 2112 unduplicated records are extracted from Google Scholar, Web of Science (WOS), PubMed, China National Knowledge Infrastructure (CNKI), and Scopus databases. The most contributed countries, institutions, authors, journals, references, and disciplines are recognized. Keyword distribution and hot topics are identified. Popular databases of ophthalmic images, videos, and electronic demographic medical records are discussed. The DED diagnosis, classification, and grading criteria are identified. The major diagnosing methods are clustered, compared, and investigated. Findings show that diagnosing method research could be classified into three categories based on the relationship between AI techniques, which are (1) ground truth and/or comparable standards for AI DED diagnosis (TBUT, S Ⅰ T, TMH, and OSDI), (2) potential methods for AI-based methods have a great advantage(DED detection based on meibometry Images, CASPs, IVCM Images, OCT Images, blink videos and ultrasonic imaging), (3) and the potential direction and supplemented methods for AI-based DED detection (DED detections based on tear osmolarity, proteomic analysis, TCM and demographic information). AI-based approaches based on digital ophthalmologic images play an important role in early screening. Challenges and future perspectives are discussed at the end of this article, academically and practically.

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Feature selection and syndrome classification for rheumatoid arthritis patients with Traditional Chinese Medicine treatment

Cited by 26 publications

References 16 publications

Effects of laser acupuncture tele-therapy for rheumatoid arthritis elderly patients

Effects of laser acupuncture tele-therapy for rheumatoid arthritis elderly patients

Standardization, objectification, and essence research of traditional Chinese medicine syndrome: A 15‐year bibliometric and content analysis from 2006 to 2020 in Web of Science database

A Fusion-based AI Approach for Dry Eye Disease Diagnosis using Multiple Sources of Digital Ophthalmic Data: A Bibliographic Study

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