相关实验视频

Updated: Jun 10, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K

通过NARX神经网络和转移学习预测化疗诱导的血栓毒性

Marie Steinacker1,2,3, Yuri Kheifetz4, Markus Scholz4,5

  • 1Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig University, Humboldtstraße 25, 04105, Leipzig, Germany. steinacker@informatik.uni-leipzig.de.

Journal of cancer research and clinical oncology
|October 13, 2024
PubMed
概括

预测化疗诱导的血小板缺血 (低血小板数) 是至关重要的. 使用外源输入 (NARX) 的非线性自回归网络比传统模型更准确,特别是转移学习,有助于个性化治疗策略.

关键词:
人工智能的人工智能是人工智能.血液形成 血液形成其他非霍奇金淋巴瘤.非线性自回归模型非线性自回归模型精准医学是一门精准的医学.系统识别 系统识别

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.7K
Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity07:42

Nerve Excitability Assessment in Chemotherapy-induced Neurotoxicity

Published on: April 26, 2012

18.2K

相关概念视频

Chemotherapy-Induced Nausea and Vomiting: Neurokinin-1 Receptor Antagonists01:28

Chemotherapy-Induced Nausea and Vomiting: Neurokinin-1 Receptor Antagonists

Neurokinin 1 (NK1) receptors are distributed across the GI tract, vagal afferents, and key CNS regions including the central vomiting center and chemoreceptor trigger zone (CTZ) Chemotherapy agents stimulate enterochromaffin cells in the gastrointestinal (GI) tract to release large amounts of substance P (SP). SP is a neuropeptide released by specific sensory nerves in response to many different stressors, including those in the GI mucosa affected by chemotherapy.  SP binds and activates...
151