Ensemble learning accurately predicts the potential benefits of thrombolytic therapy in acute ischemic stroke
Author:
Publisher
AME Publishing Company
Subject
Radiology, Nuclear Medicine and imaging
Link
https://qims.amegroups.com/article/download/71314/pdf
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Deep Learning and Artificial Intelligence in Action (2019–2023): A Review on Brain Stroke Detection, Diagnosis, and Intelligent Post-Stroke Rehabilitation Management;IEEE Access;2024
2. Application and risk prediction of thrombolytic therapy in cardio-cerebrovascular diseases: a review;Thrombosis Journal;2023-09-04
3. Gradient boosting DD‐MLP Net: An ensemble learning model using near‐infrared spectroscopy to classify after‐stroke dyskinesia degree during exercise;Journal of Biophotonics;2023-06-15
4. A new machine learning algorithm with high interpretability for improving the safety and efficiency of thrombolysis for stroke patients: A hospital-based pilot study;DIGITAL HEALTH;2023-01
5. The feasibility and accuracy of machine learning in improving safety and efficiency of thrombolysis for patients with stroke: Literature review and proposed improvements;Frontiers in Neurology;2022-10-20
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