Fengshi Jing
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View article: One Health Perspective of Antibiotic Resistance in Enterobacterales from Southeast Asia: A Systematic Review and Meta-analysis
One Health Perspective of Antibiotic Resistance in Enterobacterales from Southeast Asia: A Systematic Review and Meta-analysis Open
Antimicrobial resistance (AMR) in Enterobacterales poses serious public health, agricultural, and environmental threats. In Southeast Asia, a coordinated “One Health” approach is lacking, and fragmented evidence hampers targeted interventi…
View article: Correlates of Meningococcal B Vaccination and Health Behavior Profiles Among MSM in China
Correlates of Meningococcal B Vaccination and Health Behavior Profiles Among MSM in China Open
Background: Meningococcal B (MenB) vaccination offers protection against invasive meningococcal disease and moderate cross-protection against gonorrhea. However, little is known about coverage and behavioral correlates among men who have s…
View article: Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: A network approach analysis
Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: A network approach analysis Open
Background: Occupational burnout is a type of psychological syndrome. It can lead to serious mental and physical disorders if not treated in time. However, individuals tend to conceal their genuine feelings of occupational burnout because …
View article: TPS-Net: A clinical real-time network specifically for segmentation of intestinal neoplastic polyps
TPS-Net: A clinical real-time network specifically for segmentation of intestinal neoplastic polyps Open
View article: Correction: Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: a network approach analysis
Correction: Social, lifestyle, and health status characteristics as a proxy for occupational burnout identification: a network approach analysis Open
[This corrects the article DOI: 10.3389/fpsyt.2023.1119421.].
View article: Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method
Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method Open
View article: Regional Prevalence, Stage Distribution, and Temporal Trends of Cardiovascular-Kidney-Metabolic Syndrome in the Americas, Europe and Western Pacific: A Systematic Review and Meta-Analysis
Regional Prevalence, Stage Distribution, and Temporal Trends of Cardiovascular-Kidney-Metabolic Syndrome in the Americas, Europe and Western Pacific: A Systematic Review and Meta-Analysis Open
Background The cardiovascular-kidney-metabolic (CKM) syndrome, first proposed by the American Heart Association (AHA) in 2023, represents a groundbreaking conceptual framework that integrates these three interrelated conditions into a unif…
View article: Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method
Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method Open
Families of ASD individuals increasingly acknowledge the multifaceted benefits of physical activity. These insights can guide the design of targeted interventions and inclusive sports programs, ultimately fostering greater participation an…
View article: Optimal resource allocation in HIV self-testing secondary distribution among Chinese MSM: data-driven integer programming models
Optimal resource allocation in HIV self-testing secondary distribution among Chinese MSM: data-driven integer programming models Open
Human immunodeficiency virus self-testing (HIVST) is an innovative and effective strategy important to the expansion of HIV testing coverage. Several innovative implementations of HIVST have been developed and piloted among some HIV high-r…
View article: Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study.
Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study. Open
Background: Cognitive impairment, indicative of Alzheimer disease and other forms of dementia, significantly deteriorates the quality of life of older adult populations and imposes considerable burdens on families and health care systems w…
View article: Multiparametric models based on variability in lipid tests and pro-inflammatory biomarkers for atrial fibrillation and stroke prediction: The Hong Kong Family Medicine Study
Multiparametric models based on variability in lipid tests and pro-inflammatory biomarkers for atrial fibrillation and stroke prediction: The Hong Kong Family Medicine Study Open
Objective The objective of this study was to investigate possible associations between measures of variability in lipid tests for atrial fibrillation and stroke prediction, and develop predictive models incorporating these metrics. Methods…
View article: Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study
Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study Open
Background Cognitive impairment, indicative of Alzheimer disease and other forms of dementia, significantly deteriorates the quality of life of older adult populations and imposes considerable burdens on families and health care systems wo…
View article: Model-Informed Targeted Network Interventions on Social Networks Among Men Who Have Sex With Men in Zhuhai, China
Model-Informed Targeted Network Interventions on Social Networks Among Men Who Have Sex With Men in Zhuhai, China Open
Men who have sex with men (MSM) are at disproportionally high risk for human immunodeficiency virus (HIV) infection in China. The increasing HIV prevalence among MSM highlights the urgent need for effective prevention interventions among M…
View article: Effectiveness of a pay-it-forward intervention compared with user-paid vaccination to improve influenza vaccine uptake and community engagement among children and older adults in China: a quasi-experimental pragmatic trial
Effectiveness of a pay-it-forward intervention compared with user-paid vaccination to improve influenza vaccine uptake and community engagement among children and older adults in China: a quasi-experimental pragmatic trial Open
View article: A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review
A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review Open
Over the past decade, wearable sensors for fall detection have gained significant attention due to their potential in improving the safety of elderly users and reducing fall-related injuries. This review employs a network-based visualizati…
View article: A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review
A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review Open
Over the past decade, wearable sensors for fall detection have gained significant attention due to their potential in improving the safety of elderly users and reducing fall-related injuries. This review employs a network-based visualizati…
View article: Burden of falls in China, 1992–2021 and projections to 2030: a systematic analysis for the global burden of disease study 2021
Burden of falls in China, 1992–2021 and projections to 2030: a systematic analysis for the global burden of disease study 2021 Open
Background The escalating burden of falls in China necessitates a detailed examination to elucidate its dynamics and trends. Using data from the Global Burden of Disease Study (GBD) 2021, this research assessed the burden of falls in China…
View article: Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care: A study protocol
Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care: A study protocol Open
Background: Cardiovascular disease (CVD) and cancer are the first and second causes of death in over 130 countries across the world. They are also among the top three causes in almost 180 countries worldwide. Cardiovascular complications a…
View article: Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong
Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong Open
The accumulation of susceptible populations for respiratory infectious diseases (RIDs) when COVID-19-targeted non-pharmaceutical interventions (NPIs) were in place might pose a greater risk of future RID outbreaks. We examined the timing a…
View article: Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach
Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach Open
BACKGROUND: HIV self-testing (HIVST) has been rapidly scaled up and additional strategies further expand testing uptake. Secondary distribution involves people (defined as "indexes") applying for multiple kits and subsequently sharing them…
View article: Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives.
Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives. Open
From our perspective, current advancements in AI-powered IoT cardiac sensors primarily focus on optimizing AI algorithms, such as deep learning techniques, and enhancing the functionality of smart wearable devices for precision medicine. L…
View article: Regional Prevalence, Stage Distribution, And Temporal Trends of Cardiovascular-Kidney-Metabolic Syndrome in the Americas, Europe And Western Pacific: A Systematic Review and Meta-Analysis
Regional Prevalence, Stage Distribution, And Temporal Trends of Cardiovascular-Kidney-Metabolic Syndrome in the Americas, Europe And Western Pacific: A Systematic Review and Meta-Analysis Open
View article: From wearables to performance: how acceptance of IoT devices influences physical education results in college students
From wearables to performance: how acceptance of IoT devices influences physical education results in college students Open
View article: Author Correction: From wearables to performance: how acceptance of IoT devices influences physical education results in college students
Author Correction: From wearables to performance: how acceptance of IoT devices influences physical education results in college students Open
View article: Author Correction: From wearables to performance: how acceptance of IoT devices influences physical education results in college students
Author Correction: From wearables to performance: how acceptance of IoT devices influences physical education results in college students Open
View article: A Decade of Progress in Artificial Intelligence for Fundus Image-Based Diabetic Retinopathy Screening (2014–2024): A Bibliometric Analysis
A Decade of Progress in Artificial Intelligence for Fundus Image-Based Diabetic Retinopathy Screening (2014–2024): A Bibliometric Analysis Open
Background/Aims Diabetic retinopathy (DR) screening using artificial intelligence (AI) has evolved significantly over the past decade. This study aimed to analyze research trends, developments, and patterns in AI-based fundus image DR scre…
View article: Bibliometric Analysis and Research Trends in Artificial Intelligence for Medical Imaging in Alzheimer's Disease
Bibliometric Analysis and Research Trends in Artificial Intelligence for Medical Imaging in Alzheimer's Disease Open
View article: Forecasting Influenza-like Illness in Compulsory Education Schools in Macau Using Google Search Queries and Machine Learning Models
Forecasting Influenza-like Illness in Compulsory Education Schools in Macau Using Google Search Queries and Machine Learning Models Open
View article: From wearables to performance: how acceptance of IoT devices influences physical education results in college students
From wearables to performance: how acceptance of IoT devices influences physical education results in college students Open
View article: Evaluating machine learning-enabled and multimodal data-driven exercise prescriptions for mental health: a randomized controlled trial protocol
Evaluating machine learning-enabled and multimodal data-driven exercise prescriptions for mental health: a randomized controlled trial protocol Open
Background: Mental illnesses represent a significant global health challenge, affecting millions with far-reaching social and economic impacts. Traditional exercise prescriptions for mental health often adopt a one-size-fits-all approach, …