[HTML][HTML] A systematic evaluation and meta-analysis of early prediction of post-thrombotic syndrome
T Yu, J Song, LK Yu, W Deng - Frontiers in Cardiovascular Medicine, 2023 - frontiersin.org
Objective Post-thrombotic syndrome (PTS) is the most common long-term complication in
patients with deep venous thrombosis, and the prevention of PTS remains a major challenge …
patients with deep venous thrombosis, and the prevention of PTS remains a major challenge …
[HTML][HTML] A systematic review and meta-analysis of risk prediction models for post-thrombotic syndrome in patients with deep vein thrombosis
X Guo, H Xu, J Zhang, B Hao, T Yang - Heliyon, 2023 - cell.com
Objective This systematic review and meta-analysis aimed to systematically evaluate the
prediction models for the risk of post-thrombotic syndrome (PTS) in deep vein thrombosis …
prediction models for the risk of post-thrombotic syndrome (PTS) in deep vein thrombosis …
Performance and Head-to-Head Comparison of Three Clinical Models to Predict Occurrence of Postthrombotic Syndrome: A Validation Study
Objective The SOX-PTS, Amin, and Méan models are three different clinical prediction
scores stratifying the risk for postthrombotic syndrome (PTS) development in patients with …
scores stratifying the risk for postthrombotic syndrome (PTS) development in patients with …
Machine learning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes
A Kirdeev, K Burkin, A Vorobev, E Zbirovskaya… - Frontiers in …, 2024 - frontiersin.org
Background The development of prognostic models for the identification of high-risk
myocardial infarction (MI) patients is a crucial step toward personalized medicine. Genetic …
myocardial infarction (MI) patients is a crucial step toward personalized medicine. Genetic …
Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review
V Danilatou, D Dimopoulos… - Thrombosis and …, 2024 - thieme-connect.com
Background: Venous thromboembolism (VTE) is a chronic disorder with a significant health
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …
and economic burden. Several VTE-specific Clinical Prediction Models (CPMs) have been …
[HTML][HTML] Unsupervised and Supervised Machine Learning to Identify Variability of Tumor-Educated Platelets and Association with Pan-Cancer: A Cross-National Study
X Chen, R Shen, L Lv, D Zhu, G You, Z Tian… - Fundamental …, 2023 - Elsevier
Cancer can educate platelets by altering transcriptome profiles. However, the exact
education mechanism remains unclear, and the variability of tumor-educated platelet (TEP) …
education mechanism remains unclear, and the variability of tumor-educated platelet (TEP) …
Development and validation of a risk prediction model and prediction tools for post-thrombotic syndrome in patients with lower limb deep vein thrombosis
XX Sun, H Ling, L Zhang, RB Chen, A Zhong… - International Journal of …, 2024 - Elsevier
Purpose Our research aims to compare the predictive performance of decision tree
algorithms (DT) and logistic regression analysis (LR) in constructing models, and develop a …
algorithms (DT) and logistic regression analysis (LR) in constructing models, and develop a …
Healthcare with emphasis on coronary thrombosis prediction
C Vijayakumaran, K Ramagopal… - AIP Conference …, 2024 - pubs.aip.org
Heart attacks, also known as cardiac arrests, have become a leading cause of death
globally in recent decades. They represent the culmination of intricate relationships between …
globally in recent decades. They represent the culmination of intricate relationships between …
Evaluation of expression of genes associated with post-thrombotic syndrome
RAV Barros, EM Herenio, MR Maximiano, JHM Ribeiro… - 2023 - researchsquare.com
The prediction of post-thrombotic syndrome (PTS) development among patients with deep
venous thrombosis (DVT) is currently based on clinical characteristics alone; reliable …
venous thrombosis (DVT) is currently based on clinical characteristics alone; reliable …
[PDF][PDF] " Intelligence Artificielle en Imagerie Neurovasculaire
J HOFMEISTER - archive-ouverte.unige.ch
J'ai commencé cette thèse il y a plusieurs années, grâce à Dimitri Van De Ville et Xavier
Montet, qui ont accepté de superviser mes recherches sur l'intelligence artificielle (IA) en …
Montet, qui ont accepté de superviser mes recherches sur l'intelligence artificielle (IA) en …