AIM: To develop a classifier for traditional Chinese medicine (TCM) syndrome differentiation of diabetic retinopathy (DR), using optimized machine learning algorithms, which can provide the basis TCM objective and intelligent differentiation. METHODS: Collated data on real-world DR cases were collected. A variety methods used to construct classification model, best performance was selected as basic model. Genetic Algorithm (GA) feature selection obtain optimal combination. Harris Hawk...

To construct a traditional Chinese medicine (TCM) knowledge base using graph based on deep learning methods, and to explore the application of joint models in intelligent question answering systems for TCM. Textbooks Prescriptions Materia Medica were applied comprehensive serving as foundation system. In study, BERT+Slot-Gated (BSG) model was identification TCM entities intentions presented by users their questions. Answers retrieved from identified then returned user. The Flask framework...

To analyze the intellectual structure, hotspots and trends of traditional Chinese medicine (TCM) in immune regulation research. The data were extracted from Web Science Core Collection (WoSCC) China National Knowledge Infrastructure (CNKI) verified by two experienced TCM researchers. time literature retrieval is up to 2020. CiteSpace 5.7.R1 Microsoft Excel 2016 used for statistical analysis bibliometric diagrams, including co-occurrence network authors, institutions, countries, keywords,...

To analyze the intellectual structure and recent research trends in diabetic retinopathy (DR) unearth potential knowledge.English DR publication included this study was exported from Web of Science Core Collection, Chinese China National Knowledge Infrastructure establishment time database to 2019. CiteSpace Microsoft Excel were used visually research, including analysis number publications, highly cited analysis, spatial distribution keyword co-occurrence analysis.A total 23 795 English...

Digital Chinese medicine (DCM) is an emerging interdisciplinary field developed from traditional (TCM) and information science. In this article, we consider the significance propose architecture for DCM research, highlight key tasks that need to be performed provide references integration of science into research.

This report analyzes the existing problems in terminology referring to clinical symptoms of traditional Chinese medicine (TCM) from viewpoint data sharing and elaborates necessity establishing a standard directory elements TCM. We evaluated principles methods element extraction according status quo information system characteristics for TCM consequently proposed three-layer model optimal extraction.

Abstract It has been evidenced that ROR2 influences the growth of many tumors, including non‐small cell lung cancer, osteosarcoma, and breast cancer. This research examined effect WNT1/ROR2 signaling pathway on progression triple‐negative cancer (TNBC). Bioinformatics analysis results demonstrated had a higher messenger RNA (mRNA) expression level in TNBC tissues was positively correlated with poor patient prognosis. Western blot (WB) quantitative reverse transcription polymerase chain...

In order to take full advantage of traditional Chinese medicine (TCM) and western medicine, combined with machine learning technology, study the risk factors better prediction model diabetic retinopathy (DR), provide basis for screening treatment it. Through a retrospective DR cases in real world, electronic medical records patients who met criteria were collected. Moreover, Recursive Feature Elimination Cross-Validation (RFECV) was used feature selection. Then, built based on Gradient...

This article introduce the method of acquiring syndrome related to elements based on rough set theory. Through JOHNSON experimental study spleen and YANG asthenia, we have a data then analyzed result.

This paper provides a comprehensive validation method of PHM system's diagnostics and predictive capability. It consists five steps: including the parameter selection validation; sample database creation samples processing methods injection assessment results validation. makes fault diagnosis prediction technology system together, eventually forming approach which fills gap in field testability.

The paper expounds the thinking, methodologies and characteristics about technology of support vector machine which is applied in traditional Chinese medicine (TCM) diagnosis. research shows that it feasible to search syndrome factors decision-making model by using machine. Nevertheless, improve accuracy level search, further studies on such closely relevant subjects as specification TCM glossary convergence between computer science are crucial.

This paper proposed an optimization algorithm based on information flow testability modeling to optimize the selection of TPs. method is improved particle swarm intelligence traditional fuzzy algorithm. And improvements were made according features dependence matrix. Software simulation was proof this methods.

Prognostics and Health Management (PHM) is a technology to monitor the equipment status predict impending faults. It used potential fault provide information track trends of system degradation by capturing characteristics signals. So how detect signals very important. The select test point plays important role in detecting signal. Traditionally, we use dependency model containing most information. But, facing large complicated system, not built so easily sometimes. And greater trouble...

Objective: Analysis and Data Mining the treatment laws of Coronary Heart Disease by famous old TCM doctor Wang Xing-kuan. Explore methods doctor's experience. Method: To collect 143 effective cases 267 diagnoses, establish clinic database, study investigated inherent Treating Prof. Wang. Result : In cases, chest tightness, shortness breath, heart palpitations are common symptoms; liver-heart dysfunctions, meridian stasis, phlegm-blood stasis pathogenesis, liver, heart, blood syndrome...

Objective To study the effect of laparoscopic cholecystectomy endoscopic sphincterotomy combined with Oddi lithotomy (EST) treatment gallbladder stone on common bile duct stones. Methods A retrospective analysis between May 2003 and June 2009 ,the LC EST in 78 patients stones was retrospectivelly analyzed. First, were removed by EST, then performed within 5 days. Results successfully 76 cases (97%), failure 2 cases, 1 case abdominal choledochojejunostomy due to end stenosis; one diameter 1.6...

In order to enhance students' comprehensive qualities and deepen the innovative entrepreneurial education reform (IEER), this paper discusses teaching content, modes methods of sensor principles applications. A new system content is arranged, ideas take students as main body, case method may be first brought in classes. process based CDIO method, technologies considered into different-type practical subjects different majors, four two-combined measures are summed up cultivate talents.