A5030060902- Traditional Chinese Medicine Studies
- Machine Learning in Healthcare
- Machine Learning in Bioinformatics
- Plant-based Medicinal Research
- Sarcoma Diagnosis and Treatment
- Artificial Intelligence in Healthcare
- Educational Reforms and Innovations
- Colorectal Cancer Screening and Detection
- Advanced Computing and Algorithms
- Healthcare and Venom Research
- Antimicrobial Peptides and Activities
- Diverticular Disease and Complications
- Gastric Cancer Management and Outcomes
- Computational Drug Discovery Methods
- Metabolomics and Mass Spectrometry Studies
- RNA modifications and cancer
- AI in cancer detection
- Flavonoids in Medical Research
- Cardiac electrophysiology and arrhythmias
- Medicinal Plant Pharmacodynamics Research
- vaccines and immunoinformatics approaches
- Ferroptosis and cancer prognosis
- Acupuncture Treatment Research Studies
- Medical Research and Treatments
- Cardiac Imaging and Diagnostics
Hunan University
2020-2023
Academy of Military Medical Sciences
2023
DHC Software (China)
2019-2022
Hunan University of Traditional Chinese Medicine
2013-2015
Artificial intelligence-based disease prediction models have a greater potential to screen COVID-19 patients than conventional methods. However, their application has been restricted because of underlying black-box nature.To addressed this issue, an explainable artificial intelligence (XAI) approach was developed for COVID-19.A retrospective study consisting 1,737 participants (759 and 978 controls) admitted San Raphael Hospital (OSR) from February May 2020 used construct diagnosis model....
The quality of bowel preparation is an important factor in the success colonoscopy. However, often affected by multiple factors. main objective this study was to explore specific factors that affect preparation.Patients were consecutively recruited from gastroenterology department Union Hospital, Tongji Medical College, Huazhong University Science and Technology Wuhan May 2018 December 2018. All patients undergoing Bowel evaluated Ottawa Scale (OBPS) all categorized into 2 groups according...
Among the 382 million diabetic patients worldwide, approximately 30% experience neuropathy, and one-fifth of these eventually develop diabetes cognitive impairment (CI). However, mechanism underlying CI remains unknown, early diagnostic methods or effective treatments are currently not available. This study aimed to explore risk factors for in with type 2 mellitus (T2DM), screen potential therapeutic drugs T2DM-CI, provide evidence preventing treating T2DM-CI. focused on T2DM population...
Abstract Background The purpose of our study was to construct a prognostic model based on ferroptosis-related gene signature improve the prognosis prediction lung squamous carcinoma (LUSC). Methods mRNA expression profiles and clinical data LUSC patients were downloaded. LUSC-related essential differentially expressed genes integrated for further analysis. Prognostic signatures identified through random forest regression univariate Cox analyses constructing model. Finally, in preliminary...
TCM treatment model is an effective tool to provide correct guidance and decision-making in clinical practice. Recently, traditional Chinese medicine (TCM) has become increasingly concerned problem the world, it still a hot research topic. However, most machine learning researches pursue performance of model, but ignore trust mechanism process. The interpretable based on XGBoost integration constructed this paper, interpretability taken into account when good. AUC selected as main evaluation...
Based on the data mining technology, rules of acupoint selection and prescription were analyzed for impotence treated with acupuncture moxibustion in ancient recorded Zhonghua Yidian. By taking yangwei yinwei as searching terms, database Yidian (the 5th edition) retrieved relevant information impotence, such provision, acupoints use frequency extracted. Using software, e.g. Microsoft Excel Weka 3.8.4, analyzed. Fifty five provisions prescriptions compliance requirements screened. Of them,...
To explore the acupoint selection pattern of chronic atrophic gastritis and provide reference for clinical treatment gastritis.The literature regarding acupuncture published before September 5th 2016 was searched in databases CNKI, CBM, PubMed, etc. The information symptoms extracted to establish medical database gastritis. data mining methods latent structure model frequency item set were applied analyze gastritis.A total 42 papers collected preliminary screening, 32 included, involving 604...
The research on microbe association networks is greatly significant for understanding the pathogenic mechanism of microbes and promoting application in precision medicine. In this paper, we studied prediction microbe-disease associations based multi-data biological network graph neural algorithm. HMDAD database provided a dataset that included 39 diseases, 292 microbes, 450 known associations. We proposed Microbe-Disease Heterogeneous Network according to similarity network, disease...
There are some problems in the modernization and informatization of Chinese medicine (CM), artificial intelligence (AI) support is urgently needed. The ability AI to automatically extract features express strong nonlinear mapping makes it most potential method intelligent diagnosis treatment future. Based on above, we propose an automatic disease system for medicine. First, interpretable model based analysis case CM real world research. Second, a framework automated machine learning proposed...
Abstract Various microorganisms are affinitive with the pathogenesis of Human-related diseases and have become new targets for disease therapy. Since limitations long development period high funds wet-lab validation a Microbe-Disease association, it is important to Conduct insilico approaches prioritize high-confidence disease-associated microbes further validation. The approach identify associations can not only provide an opportunity overview etiology human at microbiome diseasome levels,...
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 summarize the core drugs, compatibility rules and properties, flavor meridian tropism of Xiexin Decoction Analogous Prescriptions by complex network mining techniques, in order to provide reference for research prescriptions. Methods The prescription information was extracted from case Prescription(herbs acrid dispersing herbs bitter descending)in "Ancient Modern Medical Case Cloud Platform", were analyzed. Results drugs Prescription Pinellia, Dried Ginger, Licorice, Rhizoma...
Objective: To explore the association rules between medicines, core combinations and new prescriptions, to analyze medication of traditional Chinese medicine(TCM) in consolidation period breast cancer based on data mining medical records TCM treatment outpatient clinic Hunan University recent 10 years. Method: Use Python 3.7 software select rule algorithm with minimum support degree greater than 60% confidence 0.9 conduct collected records.Results: A total 9739 178 herbal medicines were...
Background: No reliable predictive models for distant metastasis in extremity undifferentiated pleomorphic sarcoma (UPS) had been reported.Method: A retrospective data mining study was conducted 166 patients of UPS from January 2005 to August 2018 a single center. Using Python 3.7.3 (Windows x64 version) modeling and statistical analysis based on scikit learn framework, evaluate patients' demographic tumor characteristics, preoperative examination, pathology, chemotherapy other datasets....