A5024601390- Machine Learning in Healthcare
- Vaccine Coverage and Hesitancy
- SARS-CoV-2 and COVID-19 Research
- Patient-Provider Communication in Healthcare
- Biomedical and Engineering Education
- COVID-19 Clinical Research Studies
- Circular RNAs in diseases
- Interpreting and Communication in Healthcare
- Extracellular vesicles in disease
- Artificial Intelligence in Healthcare
- Health Systems, Economic Evaluations, Quality of Life
- Cancer-related molecular mechanisms research
- Metabolomics and Mass Spectrometry Studies
- Quality and Safety in Healthcare
- Traditional Chinese Medicine Studies
- Mineral Processing and Grinding
Ruijin Hospital
2023-2025
First Hospital of China Medical University
2024
China Medical University
2024
Fudan University
2023
Positive Action
2022
Specific Technologies (United States)
2022
Postmenopausal osteoporosis is a prevalent metabolic bone disorder characterized by decrease in mineral density and deterioration of microstructure. Despite the high prevalence this disease, no effective treatment for has been developed. Exercise long considered potent anabolic factor that promotes mass via upregulation myokines secreted skeletal muscle, exerting long-term osteoprotective effects few side effects. Irisin was recently identified as novel myokine significantly upregulated...
Abstract There are limited data available regarding the connection between hypertension and heavy metal exposure. The authors intend to establish an interpretable machine learning (ML) model with high efficiency robustness that identifies based on Our datasets were obtained from US National Health Nutrition Examination Survey (NHANES, 2013–2020.3). developed 5 ML models for identification by exposure, tested them 10 discrimination characteristics. Further, chose optimally performing after...
With the rise of feminism, women report experiencing doubt or discrimination in medical settings. This study aims to explore linguistic mechanisms by which physicians express disbelief toward patients and investigate gender differences use negative descriptions. A content analysis 285 electronic records was conducted identify 4 bias features: judging, reporting, quoting, fudging. Sentiment classification knowledge graph with ICD-11 were used determine prevalence these features records,...
Limited research exists on the association between depression and heavy metal exposure. This study aims to develop an interpretable efficient machine learning (ML) model with robust performance identify linked Data were derived from US National Health Nutrition Examination Survey (NHANES) spanning 2013 March 2020. We constructed 5 ML models detect based exposure assessed their using 10 discrimination metrics. The optimal was selected after parameter tuning a Genetic Algorithm (GA). To...
To effectively monitor medical insurance funds in the era of big data, study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle supervision information system and exploring complete set methods.To lay foundation for applying artificial intelligence (AI) technology control provide feasible paths available tools managers.By way collecting cleaning electronic record (EMR) data from 2016 2018 city East China, focusing on basic patient information,...
There are limited data available regarding the connection between heavy metal exposure and mortality among hypertension patients.
Large-scale vaccination against the spread and mutation of COVID-19 is being implemented in many countries. We aimed to assess effectiveness certain vaccines (87.35% inactivated), mainly Sinovac - CoronaVac Sinopharm (Beijing) BBIBP-CorV, during Omicron BA.2 pandemic by cross-sectional study. The study was conducted a cabin hospital Shanghai, China. A total 1194 Covid-19 patients infected with were enrolled epidemiological survey information collected from subjects through electronic medical...