过去一年中添加的文章，按日期排序
[HTML][HTML] Establishing a risk prediction model for residual pulmonary vascular obstruction after regular anticoagulant therapy for non-high-risk pulmonary embolism
D Zhu, J Feng, J Guo, J Duan, Y Yang… - Journal of Thoracic …, 2024 - ncbi.nlm.nih.gov
60 天前 - … of sequential anticoagulation therapy for non-high-risk PE. Machine learning techniques
were … Venous thromboembolism (VTE) is a potentially fatal cardiovascular disease that …
were … Venous thromboembolism (VTE) is a potentially fatal cardiovascular disease that …
[引用][C] MSR45 Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients With Atrial Fibrillation …
96 天前 - … , venous thromboembolism, or joint replacement at baseline or receiving oral
anticoagulants during … However, the performances of ML algorithms in predicting major bleeding …
anticoagulants during … However, the performances of ML algorithms in predicting major bleeding …
… language processing and machine learning (PREDICT-AI study) in patients with anticoagulated cancer with venous thromboembolism in the TESEO international …
…, Cancer and Thrombosis Section, Spanish Society of … - 2024 - ascopubs.org
98 天前 - … in patients with cancer-associated thrombosis (… predict major bleeding (MB) in
anticoagulant-treated cancer patients within the first 6 months following venous thromboembolism …
anticoagulant-treated cancer patients within the first 6 months following venous thromboembolism …
[HTML][HTML] Machine learning analysis of bleeding status in venous thromboembolism patients
SS Fard, TJ Perkins, PS Wells - Research and Practice in Thrombosis and …, 2024 - Elsevier
188 天前 - … Anticoagulation therapy is the mainstay of therapy for patients with venous
thromboembolism … statistical models in predicting major bleeding from patients' baseline …
thromboembolism … statistical models in predicting major bleeding from patients' baseline …
Developing a machine learning model for bleeding prediction in patients with cancer-associated thrombosis receiving anticoagulation therapy
AG Grdinic, S Radovanovic, J Gleditsch… - Journal of Thrombosis …, 2024 - Elsevier
245 天前 - … collected until the day of the venous thromboembolism (VTE) event. The outcome
was first occurrence of major bleeding or clinically relevant nonmajor bleeding (CRNMB) 1 to …
was first occurrence of major bleeding or clinically relevant nonmajor bleeding (CRNMB) 1 to …
Risk Prediction of Stroke in Atrial Fibrillation Patients Using Machine Learning
P Faramnuayphol, A Pattanateepapon… - … Artificial Intelligence …, 2023 - ieeexplore.ieee.org
251 天前 - … for managing AF patients is stroke prevention using oral anticoagulants (OACs) [5]. …
Hyperparameter Tuning for Machine Learning As part of the machine learning technique …
Hyperparameter Tuning for Machine Learning As part of the machine learning technique …
DNA Liquid Biopsies for Cancer-Associated Venous Thromboembolism Prediction
J Jee, AR Brannon, C Fong, A Lee, L Gray, K Pichotta… - Blood, 2023 - Elsevier
282 天前 - … population for prophylactic anticoagulation is challenging … cfDNA and related
variables for predicting VTE using Cox … predicting VTE within six months using machine learning …
variables for predicting VTE using Cox … predicting VTE within six months using machine learning …
Predicting Major Bleeding in Patients with Venous Thromboembolism on Extended Anticoagulation Therapy Using Follow-up Data and Long Short-Term Memory …
SS Fard, TJ Perkins, PS Wells - Blood, 2023 - Elsevier
282 天前 - … Five supervised neural network-based machine learning models with different … ,
or both to predict major bleeding. After training, these machine learning models were tested on …
or both to predict major bleeding. After training, these machine learning models were tested on …