Yuheng Jia

ORCID: 0000-0002-9767-0603
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About
Contact & Profiles
Research Areas
  • Blood properties and coagulation
  • Retinal Imaging and Analysis
  • Coronary Interventions and Diagnostics
  • Cardiac Valve Diseases and Treatments
  • Atrial Fibrillation Management and Outcomes
  • Acute Myocardial Infarction Research
  • Medical Image Segmentation Techniques
  • Cardiovascular Function and Risk Factors
  • Aortic aneurysm repair treatments
  • Cardiovascular Health and Disease Prevention
  • Cardiac Imaging and Diagnostics
  • Visual Attention and Saliency Detection
  • Cardiac Arrhythmias and Treatments
  • Water Quality Monitoring Technologies
  • Venous Thromboembolism Diagnosis and Management
  • Machine Learning and ELM
  • Domain Adaptation and Few-Shot Learning
  • Phonocardiography and Auscultation Techniques
  • Infrared Target Detection Methodologies
  • Aortic Disease and Treatment Approaches

West China Hospital of Sichuan University
2023-2024

Sichuan University
2023-2024

Copenhagen University Hospital
2024

Zhengzhou University
2015

Permanent pacemaker implantation and left bundle branch block are common complications after transcatheter aortic valve replacement (TAVR) associated with impaired prognosis. This study aimed to develop an artificial intelligence (AI) model for predicting conduction disturbances TAVR using pre-procedural 12-lead electrocardiogram (ECG) images. We collected ECGs of patients who underwent at West China Hospital between March 2016 2022. A hold-out testing set comprising 20% the sample was...

10.1093/ehjdh/ztae007 article EN cc-by European Heart Journal - Digital Health 2024-02-08

Device-related thrombosis (DRT) occurs in up to 4% of patients undergoing left atrial appendage occlusion (LAAO) and is associated with substantial morbidity mortality. However, its pathophysiology, predictors, optimal management remain unclear.

10.1016/j.jacadv.2024.101339 article EN cc-by-nc-nd JACC Advances 2024-10-16

Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a paradigm, MIL different from traditional supervised that handles the classification of bags comprising unlabeled instances. In this paper, novel method based on extreme machine (ELM) proposed address problem. First, most qualified selected in each bag through single hidden layer feedforward network (SLFN) whose input output weights...

10.1155/2015/405890 article EN cc-by Computational Intelligence and Neuroscience 2015-01-01

This study demonstrated that fibrinogen is an independent risk factor for 10-year mortality in patients with acute coronary syndrome (ACS), a U-shaped nonlinear relationship observed between the two. These findings underscore importance of monitoring levels and consideration long-term anti-inflammatory treatment clinical management ACS.

10.2196/54485 article EN cc-by JMIR Public Health and Surveillance 2024-05-21

<sec> <title>BACKGROUND</title> As an important inflammatory factor and a key participant in coagulation, fibrinogen has attracted attention the management of acute coronary syndrome (ACS). However, relationship between level prognosis patients with ACS remains controversial.In addition, quantitative risk mortality longer follow-up period needs further clarification. </sec> <title>OBJECTIVE</title> We aim to investigate dose-effect on long-term prognoses prospective, large-scale,...

10.2196/preprints.54485 preprint EN 2023-11-11
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