Yingfeng Ge

ORCID: 0009-0007-9105-669X
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About
Contact & Profiles
Research Areas
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Statistical Methods and Inference
  • Electrochemical Analysis and Applications
  • Liver Disease Diagnosis and Treatment
  • Statistical Methods and Bayesian Inference
  • Heart Rate Variability and Autonomic Control
  • Attention Deficit Hyperactivity Disorder
  • Dementia and Cognitive Impairment Research
  • ECG Monitoring and Analysis
  • Sleep and related disorders
  • Statistical Methods in Epidemiology
  • Bayesian Methods and Mixture Models
  • Cardiac electrophysiology and arrhythmias
  • Sleep and Work-Related Fatigue

Sun Yat-sen University
2023-2025

The problem of missing data, particularly for dichotomous variables, is a common issue in medical research. However, few studies have focused on the imputation methods data and their performance, as well applicability these factors that may affect performance. In arrangement application scenarios, different mechanisms, sample sizes, rates, correlation between value distributions, number variables were considered. We used simulation techniques to establish variety compound scenarios conducted...

10.1038/s41598-023-36509-2 article EN cc-by Scientific Reports 2023-06-09

As a clinical precursor to Alzheimer's disease (AD), amnestic mild cognitive impairment (aMCI) bears considerably heightened risk of transitioning AD compared cognitively normal elders. Early prediction whether aMCI will progress is paramount importance, as it can provide pivotal guidance for subsequent interventions in an early and effective manner. A total 107 cases were enrolled their electroencephalogram (EEG) data collected at the time initial diagnosis. During 18-month follow-up...

10.3389/fnagi.2024.1470836 article EN cc-by Frontiers in Aging Neuroscience 2025-01-06

Assuming a linear relationship between continuous predictors and outcomes in clinical prediction models is often inappropriate, as true relationships are rare, potentially resulting biased estimates inaccurate conclusions. Our research group addressed single U-shaped independent variable before. Multiple can improve predictive accuracy by capturing nuanced relationships, but they also introduce challenges like increased complexity potential overfitting. This study aims to extend the...

10.1186/s12874-025-02522-4 article EN cc-by-nc-nd BMC Medical Research Methodology 2025-03-12

Observational studies have suggested U-shaped relationships between sleep duration and systolic blood pressure (SBP) with risks of many cardiovascular diseases (CVDs), but the cut-points that separate high-risk low-risk groups not been confirmed. We aimed to examine duration, SBP, CVDs confirm optimal for SBP.A retrospective analysis was conducted on NHANES 2007-2016 data, which included a nationally representative sample participants. The maximum equal-odds ratio (OR) method implemented...

10.3389/fcvm.2023.1210171 article EN cc-by Frontiers in Cardiovascular Medicine 2023-09-14

Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopment disease characterized by impaired social and cognitive abilities. Despite its prevalence, reliable biomarkers for identifying individuals with ASD are lacking. Recent studies have suggested that alterations in the functional connectivity of brain patients could serve as potential indicators. However, previous research focused on static functional-connectivity analysis, neglecting temporal dynamics spatial interactions....

10.31083/j.jin2305095 article EN cc-by Journal of Integrative Neuroscience 2024-05-08

The clinical manifestations of ischemic cardiomyopathy (ICM) bear resemblance to dilated (DCM), yet their treatments and prognoses are quite different. Early differentiation between these conditions yields positive outcomes, but the gold standard (coronary angiography) is invasive. potential use ECG signals based on variational mode decomposition (VMD) as an alternative remains underexplored. An dataset containing 87 subjects (44 DCM, 43 ICM) pre-processed for denoising heartbeat division....

10.3390/bioengineering11101012 article EN cc-by Bioengineering 2024-10-11

Abstract Autism spectrum disorder (ASD) is a complex brain that damages patients’ cognitive and social skills. Previous studies using static functional connectivity analysis from electroencephalogram (EEG) neglected dynamic traits of EEG signal. This study thus combined the with local graph theory indices to seek for biomarkers diagnose ASD. Traditionally, index was calculated entire signal, afterward 6 derivative were by sliding windows different width moving step. For each above, 95...

10.21203/rs.3.rs-3331622/v1 preprint EN cc-by Research Square (Research Square) 2023-09-21
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