A5102751782- Biomedical Text Mining and Ontologies
- Acute Ischemic Stroke Management
- Topic Modeling
- Artificial Intelligence in Healthcare
- Fuzzy and Soft Set Theory
- Service-Oriented Architecture and Web Services
- Rings, Modules, and Algebras
- Semantic Web and Ontologies
- Genomics and Phylogenetic Studies
- Spinal Fractures and Fixation Techniques
- Spine and Intervertebral Disc Pathology
- Natural Language Processing Techniques
- Business Process Modeling and Analysis
- Reconstructive Surgery and Microvascular Techniques
- Advanced Algebra and Logic
- Bioinformatics and Genomic Networks
- Data Quality and Management
- Advanced Topology and Set Theory
- Advanced Computational Techniques and Applications
- Clinical practice guidelines implementation
- Bacteriophages and microbial interactions
- Imbalanced Data Classification Techniques
- Genetic Mapping and Diversity in Plants and Animals
- Bone fractures and treatments
- Pelvic and Acetabular Injuries
Yangzhou University
2021-2025
Academy of Military Medical Sciences
2013-2024
Shandong University of Traditional Chinese Medicine
2022-2024
Third Xiangya Hospital
2022-2024
Central South University
2022-2024
Anyang Hospital of Traditional Chinese Medicine
2022-2024
XinHua Hospital
2024
Shanghai Jiao Tong University
2024
Hunan University
2023
Nanyang Technological University
2023
The incidence of hypertriglyceridemia-associated acute pancreatitis (HTG-AP) is increasing. Plasmapheresis theoretically effective in removing triglyceride from plasma, but whether it confers clinical benefits unclear.To assess the association between plasmapheresis and duration organ failure among patients with HTG-AP.This an a priori analysis data multicenter, prospective cohort study enrolled 28 sites across China. Patients HTG-AP were admitted within 72 hours disease onset. first patient...
Background Managing risk factors is crucial to prevent stroke. However, few cohort studies have evaluated socioeconomic together with conventional affecting incident stroke and its subtypes in China. Methods Results A 2014 2016 prospective study from the China National Stroke Screening Intervention Program comprised 437 318 adults aged ≥40 years without at baseline. There were 2429 cases of first‐ever during a median follow‐up period 2.1 years, including 2206 ischemic strokes 237 hemorrhagic...
Idiopathic pulmonary fibrosis (IPF) is a fatal disease with high mortality and limited effective therapy. Herein, we reported that fluvoxamine, selective serotonin reuptake inhibitor (SSRI), used in depression anxiety treatment, also exhibited therapeutic activities IPF. Fluvoxamine inhibited cyclic GMP-AMP synthase (cGAS) stimulator of interferon genes (STING), restrained the activation their downstream targets, including PERK/ eIF2α/ c-Myc/ miR-9-5p/ TBPL1 TBK1/ YAP/ JNK1/2/ Bnip3/ CaMKII/...
Abstract Background With the character of high incidence, prevalence and mortality, stroke has brought a heavy burden to families society in China. In 2009, Ministry Health China launched national screening intervention program, which screens its risk factors conducts high-risk population interventions for people aged above 40 years old all over this include hypertension, diabetes, dyslipidemia, smoking, lack exercise, apparently overweight family history stroke. People with more than two or...
No specific triglyceride-lowering therapy is recommended in patients with hypertriglyceridemia-associated acute pancreatitis (HTG-AP), primarily because of the lack quality evidence. This study aimed to describe practice variations therapies for early HTG-AP and assess whether more rapid triglyceride decline associated improving organ failure. a multicentre, prospective cohort recruiting elevated plasma (> 11.3 mmol/L) admitted within 72 h from onset symptoms. Patients were dichotomised on...
The objective of this study was to investigate the effects and molecular mechanisms total flavonoids from Cortex Juglandis Mandshuricae (TFC) on preventing alcohol-induced chronic liver injury regulating gut microbiota in mice. results showed that oral administration TFC significantly attenuated alcoholic improved lipid accumulation mice with through activation AMPK/PPARα pathway. In addition, maintained integrity intestinal barrier mice, reducing endotoxin leakage intestine further...
As a leading cause of severe disability and death, stroke places an enormous burden on Chinese society. A nationwide screening platform called CSDC (China Stoke Data Center) has been built to support the national prevention program clinical research since 2011. This is composed data integration system big analysis system. The used collect information risk factors, diagnosis history, treatment, sociodemographic characteristics patients' EMR. decision making control prevention, evaluation...
Abstract Background The diverse functions of ncRNAs critically depend on their structures. Mutations in disrupting the structures functional sites are expected to be deleterious. RNA deleterious mutations have attracted wide attentions because some them cells result serious disease, and others microbes influence fitness. Results RDMAS web server we describe here is an online tool for evaluating structural deleteriousness single nucleotide mutation genes. Several structure comparison methods...
To determine the free amino acid contents of chamomile flowers using reverse-phase high-performance column chromatography preceded by pre-column derivatization with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC), and to reliability this method.Derivatization reconstituted AQC was used prepare samples standards for injection into column. The peaks were analyzed fluorescence detection (λ excitation, 250 nm; λ emission, 395 nm.Alanine, proline, leucine most abundant acids, whereas...
Myocardial infarction (MI) is an acute and persistent myocardial ischemia caused by coronary artery disease. This study screened potential genes related to MI. Three gene expression datasets MI were downloaded from the Gene Expression Omnibus database. Differentially expressed (DEGs) using MetaDE package. Afterward, modules closely a co-expression network was constructed. A support vector machine (SVM) classification model then constructed based on GSE61145 dataset e1071 package in R. total...
Automatic and accurate recognition of various biomedical named entities from literature is an important task text mining, which the foundation extracting knowledge unstructured texts into structured formats. Using sequence labeling framework deep neural networks to implement entity (BioNER) a common method at present. However, above often underutilizes syntactic features such as dependencies topology sentences. Therefore, it urgent problem be solved integrate semantic BioNER model.In this...
Background Acute heart failure (AHF) carries a grave prognosis, marked by high readmission and mortality rates within 90 days post-discharge. This underscores the urgent need for enhanced care transitions, early monitoring, precise interventions at-risk individuals during this critical period. Objective Our study aims to develop validate an interpretable machine learning (ML) model that integrates peripheral immune cell data with conventional clinical markers. goal is accurately predict...
Abstract Background It is significant to model clinical activities for process mining, which assists in improving medical service quality. However, current mining studies healthcare pay more attention the control flow of events, while data properties and time perspective are generally ignored. Moreover, classifying event attributes from view computers usually difficult experts. There also problems sharing reusing after it generated. Methods In this paper, we presented a constraint-based...
Abstract The use of extension nozzles in rocket propulsion systems is one the effective methods to increase geometric expansion ratio and thrust nozzle. As a new type nozzle, flexible nozzle can achieve continuous changes ratio. To explore characteristics flow field structure at “bulge” step actual configuration impact on performance three-dimensional numerical simulation model was first established study structure, then two-dimensional unsteady by using coupling technology dynamic grid...
Automatic disease named entity recognition (NER) plays a fundamental and essential role in knowledge extraction from biomedical literature. In this paper, we proposed novel integrated model for mentions detection using deep network combination with decoding algorithm dictionary. To build the network, implemented Bi-directional LSTM (Long Short-Term Memory) layers to capture long-term context information fully-connected improve fitting capability, concatenation of word embedding trained raw...
The recurrence of Ischemic cerebrovascular events (ICE) often results in a high rate mortality and disability. However, due to the lack labeled follow-up data hospitals, prediction methods using traditional machine learning are usually not available or reliable. Therefore, we propose new framework for predicting long-term risk patients with ICE after discharge from hospitals based on process mining transfer learning, point out high-risk intervention. First, models discovered clinical...
To realize integration, organization and reusability of knowledge related to COVID-19, an ontology for COVID-19 (CIDO-COVID-19) was constructed which extended the Coronavirus Infectious Disease Ontology (CIDO) by adding terms symptoms, prevention, drugs clinical domains. First, from existing ontologies, literature, guidelines other resources about were merged. Then, Stanford seven-step approach used define organize acquired terms. Finally, CIDO-COVID-19 built on basis mentioned above using...
Query expansion (QE) has been widely used in electronic medical record (EMR) retrieval for assisted diagnosis and clinical research.However, existing QE algorithms haven't achieved satisfactory performance Chinese EMR retrieval, one noticeable problem is that the weights of terms scores have unreasonable factors lack solid consideration needs.Here we propose an algorithm by improving term scores.First, are assigned with semantic similarities, category co-occurrence frequencies between...