A5031022113- Traditional Chinese Medicine Studies
- Traditional Chinese Medicine Analysis
- Cardiovascular Health and Disease Prevention
- Healthcare and Venom Research
- Respiratory Support and Mechanisms
- Ovarian function and disorders
- Asthma and respiratory diseases
- Acupuncture Treatment Research Studies
- Medical Research and Treatments
- Head and Neck Cancer Studies
- Image and Signal Denoising Methods
- Phonocardiography and Auscultation Techniques
- Spectroscopy and Chemometric Analyses
- Vestibular and auditory disorders
- Global Financial Crisis and Policies
- Plant-based Medicinal Research
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Machine Learning in Healthcare
- Ideological and Political Education
- Traffic Prediction and Management Techniques
- Pharmacological Effects of Natural Compounds
- Biomedical Text Mining and Ontologies
- Machine Learning in Bioinformatics
- Flavonoids in Medical Research
- Coal and Its By-products
Shanghai University of Traditional Chinese Medicine
2012-2024
Qilu University of Technology
2021-2024
Shandong Institute of Automation
2021-2024
Shandong Academy of Sciences
2021-2024
Chinese People's Liberation Army
2024
Air Force Medical University
2002-2022
Xijing Hospital
2002-2022
Hebei Medical University
2021
Shandong University of Traditional Chinese Medicine
2007-2017
Affiliated Hospital of Shandong University of Traditional Chinese Medicine
2008-2017
Histone deacetylase 5 (HDAC5) belongs to class II HDAC subfamily and is reported be increased in the kidneys of diabetic patients animals. However, little known about its function exact mechanism kidney disease (DKD). Here, we found that HDAC5 was located renal glomeruli tubular cells, significantly upregulated mice UUO mice, especially cells interstitium. Knockdown ameliorated high glucose-induced epithelial-mesenchymal transition (EMT) HK2 indicated E-cadherin decreased α-SMA, via...
Allogeneic hematopoietic stem cell transplantation is a widely used and effective therapy for malignant diseases numerous other disorders. High-resolution human leukocyte antigen (HLA) haplotype frequency distributions not only facilitate individual donor searches but also determine the probability with which particular patient can find HLA-matched donors in registry. The frequencies of HLA-A, -B, -C, -DRB1, -DQB1 alleles haplotypes were estimated among 169,995 Chinese volunteers using...
During our systematic study on the anticancer activities of Scutellaria barbata, scutebarbatine A (SBT-A), one major alkaloids in S. was found to have antitumor effects A549 cells. Thus, we designed present investigate detail SBT-A. The cytotoxic effect SBT-A vitro were determined by an MTT assay and evaluated IC50 values. Furthermore, results Hoechst 33258 Annexin V/PI staining assays demonstrated that had significant cells via apoptosis, a concentration-dependent manner. What’s more,...
Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder in women that often leads to ovulatory infertility. This study aims establish and validate an effective predictive model for PCOS explore the correlation of features between patients with irregular menstruation those PCOS, using pulse wave parameters traditional Chinese medicine (TCM) clinical indices. From August 2018 January 2022, were enrolled this study. Subjects who met inclusion criteria categorized into non-PCOS groups...
Objective. This research provides objective and quantitative parameters of the traditional Chinese medicine (TCM) pulse conditions for distinguishing between patients with coronary heart disease (CHD) normal people by using proposed classification approach based on Hilbert-Huang transform (HHT) random forest. Methods. The energy sample entropy features were extracted applying HHT to TCM treating these signals as time series. By forest classifier, two types their combination were,...
Abstract Background Patients with Polycystic ovary syndrome (PCOS) experienced endocrine disorders that may present vascular function changes. This study aimed to classify and predict PCOS by radial pulse wave parameters using machine learning (ML) methods provide evidence for objectifying diagnosis in traditional Chinese medicine (TCM). Methods A case-control 459 subjects divided into a group healthy (non-PCOS) group. The were measured analyzed between the two groups. Seven supervised ML...
Tongue cracks refer to fissures with different depth and shapes on the tongue's surface, which can characterize pathological characteristics of spleen stomach. are great significance objective study tongue diagnosis. However, small complex, existing methods difficult extract them effectively. In order achieve more accurate extraction identification crack, this paper proposes apply a deep learning network based image segmentation (Segmentation-Based Deep-Learning, SBDL) identify crack....
BackgroundSepsis is a common critical illness in intensive care unit (ICU) and an important risk factor for unit-acquired weakness (ICU-AW). The objective of the study to analyze factors ICU-AW septic patients.MethodsA total 264 patients admitted General Hospital Western Theater Command from January 2018 April 2022 were included this study. cohort was divided into 2 groups according presence or absence ICU-AW. Clinical characteristics age, sex, body mass index, length ICU stay, multiple...
Coronary atherosclerotic heart disease (CHD) has a high incidence, disability rate, and mortality which severely affect people's health, work, life. Based on its clinical manifestations, traditional Chinese medicine (TCM) classified CHD as “chest impediment” “heart pain” for the treatment. The course of is protracted, pathogenesis complex changeable. Moreover, different stages have syndrome characteristics. Thus, this article aimed to summarize classification distribution characteristics TCM...
Background. In Traditional Chinese Medicine (TCM), most of the algorithms are used to solve problems syndrome diagnosis that only focus on one syndrome, is, single label learning. However, in clinical practice, patients may simultaneously have more than which has its own symptoms (signs). Methods. We employed a multilabel learning using relevant feature for each (REAL) algorithm construct diagnostic model chronic gastritis (CG) TCM. REAL combines selection methods select significant (signs)...
Traditional Chinese Medicine (TCM) has many postulates that explain the occurrence and co-occurrence of symptoms using syndrome factors such as yang deficiency yin deficiency. A fundamental question is whether have verifiable scientific content or are purely subjective notions. This analysis investigated issue in context patients with cardiovascular disease (CVD).In past, researchers tried to show TCM correspond real entities by means laboratory tests, little success. An alternative...
Tongue texture analysis is of importance to inspection diagnosis in traditional Chinese medicine (TCM), which has great application and irreplaceable value. The tough tender classification for tongue image relies mainly on body. However, discontinuity adversely affects the classification. In order promote accuracy robustness analysis, a novel method based inpainting convolutional neural network proposed. Firstly, Gaussian mixture model applied separate coating exclude interference...
Aim of the Study: This study analyzes research on TCM formulae in CHD over past 30 years, using VOSviewer and CiteSpace. It aims to highlight key trends hotspots field. Materials Methods: The core database Web Science was collected, search time range from establishment present (August 2023) for literature related prescriptions CHD, information number literature, countries, journals, authors, institutions, keywords were summarized by applying software Results: A total 135 kinds included....
Traditional Chinese Medicine (TCM) offers individualized treatment for Polycystic Ovary Syndrome (PCOS) through pattern differentiation, but the subjectivity of TCM diagnoses can lead to inconsistent outcomes. Integrating machine learning (ML) an objective basis support diagnoses. This study aims evaluate various feature selection techniques and multi-label ML algorithms develop effective predictive model classifying patterns in PCOS patients, thereby enhancing diagnostic standardization...
This paper investigates the impact of pyramids and multiple controlling shareholders on leverage. Pyramids, having at least one shareholder, rely significantly more debt financing than non-pyramid firms after accounting for other factors that affect Moreover, higher leverage is observed in which second own voting rights. Interestingly, shareholder only present non-family controlled pyramids. We also find disparity between rights first two negatively related to Overall, results are consistent...
Background: To clarify the mechanism of notoginsenoside R1 in treatment septic acute lung injury (ALI) based on network pharmacological analysis, and to verify it model ALI rats.Methods: Based database searching, related targets were identified, component-disease-target was constructed. The core screened by protein-protein interaction (PPI), functional enrichment Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) analyzed. rat further established investigate effects R1.Results:...
To analyze the characteristics of pulse graph parameters in patients with polycystic ovary syndrome (PCOS) varied at different body mass index (BMI) levels and to provide diagnosis basis for differentiation treatment PCOS.