AIMC Topic: Venous Thrombosis

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A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Scientific reports Jul 1, 2025
Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to assist in diagnosis. We have constructed a new method called ACWGAN by combining ACGAN and WGAN methods for data augmentation to to enhance the data of ...
Humans Neural Networks, Computer Deep Learning Venous Thrombosis Stroke Generative Adversarial Networks Female Aged Male Middle Aged
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis.

Journal of orthopaedic surgery and research May 16, 2025
BACKGROUND: Thrombus formation is a severe complication in orthopedic surgery, significantly increasing mortality in patients with fractures. Therefore, identifying feature genes to determine thrombus presence in fracture surgeries is critical.
Humans Venous Thrombosis Biomarkers Hip Fractures Female Gene Expression Profiling Aged Gene Regulatory Networks Male Computational Biology Middle Aged
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Comparing machine learning models for predicting preoperative DVT incidence in elderly hypertensive patients with hip fractures: a retrospective analysis.

Scientific reports Apr 16, 2025
Hip fractures in the elderly present a significant public health challenge globally, especially among patients with hypertension, who are at an increased risk of developing preoperative deep vein thrombosis (DVT). DVT not only heightens surgical risk...
Logistic Models Nomograms Hypertension Venous Thrombosis Risk Assessment Incidence ROC Curve Hip Fractures Preoperative Period Machine Learning Retrospective Studies Female Humans Risk Factors Aged Aged, 80 and over Male
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Development of an explainable prediction model for portal vein system thrombosis post-splenectomy in patients with cirrhosis.

BMJ health & care informatics Apr 10, 2025
BACKGROUND: Portal vein system thrombosis (PVST) is a common and potentially life-threatening complication following splenectomy plus pericardial devascularisation (SPDV) in patients with cirrhosis and portal hypertension. Early prediction of PVST is...
Female Risk Factors Aged Adult Humans Machine Learning Portal Vein Splenectomy Male Postoperative Complications Middle Aged ROC Curve Risk Assessment Liver Cirrhosis Venous Thrombosis
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Machine learning assisted radiomics in predicting postoperative occurrence of deep venous thrombosis in patients with gastric cancer.

BMC cancer Feb 7, 2025
BACKGROUND: Gastric cancer patients are prone to lower extremity deep vein thrombosis (DVT) after surgery, which is an important cause of death in postoperative patients. Therefore, it is particularly important to find a suitable way to predict the r...
Venous Thrombosis Lower Extremity Gastrectomy Male Middle Aged Postoperative Complications Humans Retrospective Studies Machine Learning Tomography, X-Ray Computed Algorithms Female Aged Risk Factors Adult Stomach Neoplasms Radiomics
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Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment.

Frontiers in public health Jan 7, 2025
BACKGROUND: Machine learning is pivotal for predicting Peripherally Inserted Central Catheter-related venous thrombosis (PICC-RVT) risk, facilitating early diagnosis and proactive treatment. Existing models often assess PICC-RVT risk as static and di...
Catheterization, Central Venous Male Female Middle Aged Humans Risk Factors Public Health Risk Assessment Machine Learning Aged Deep Learning Retrospective Studies Adult Venous Thrombosis Catheterization, Peripheral
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Innovative modified-net architecture: enhanced segmentation of deep vein thrombosis.

Scientific reports Dec 28, 2024
A new era for diagnosing and treating Deep Vein Thrombosis (DVT) relies on precise segmentation from medical images. Our research introduces a novel algorithm, the Modified-Net architecture, which integrates a broad spectrum of architectural componen...
Humans Venous Thrombosis Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Construction and verification of a machine learning-based prediction model of deep vein thrombosis formation after spinal surgery.

International journal of medical informatics Aug 30, 2024
BACKGROUND: Deep vein thromboembolism (DVT) is a common postoperative complication with high morbidity and mortality rates. However, the safety and effectiveness of using prophylactic anticoagulants for preventing DVT after spinal surgery remain cont...
Venous Thrombosis Spine Male Middle Aged Postoperative Complications Female Humans Risk Factors Machine Learning Aged Algorithms Adult Retrospective Studies
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Novel Strategy for Human Deep Vein Thrombosis Diagnosis Based on Metabolomics and Stacking Machine Learning.

Analytical chemistry Aug 28, 2024
Deep vein thrombosis (DVT) is a serious health issue that often leads to considerable morbidity and mortality. Diagnosis of DVT in a clinical setting, however, presents considerable challenges. The fusion of metabolomics techniques and machine learni...
Female Male Middle Aged Venous Thrombosis Metabolomics Chromatography, Liquid Gas Chromatography-Mass Spectrometry Humans Machine Learning
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Machine Learning Predicts Peripherally Inserted Central Catheters-Related Deep Vein Thrombosis Using Patient Features and Catheterization Technology Features.

Clinical nursing research Jul 30, 2024
This study aims to use patient feature and catheterization technology feature variables to train the corresponding machine learning (ML) models to predict peripherally inserted central catheters-deep vein thrombosis (PICCs-DVT) and analyze the import...
Machine Learning Venous Thrombosis Catheterization, Peripheral Catheterization, Central Venous Humans Neural Networks, Computer
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