Robotics & Machine Learning Daily News2024,Issue(Jun.28) :93-94.

Data on Machine Learning Reported by Researchers at Qingdao University (Developm ent and Validation of a Computed Tomographybased Radiomics Nomogram for the Pre operative Prediction of Central Lymph Node Metastasis In Papillary Thyroid ...)

青岛大学研究人员报告的机器学习数据(基于CT的甲状腺乳头状癌中央淋巴结转移术前预测的放射组学列线图的开发和验证...)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :93-94.

Data on Machine Learning Reported by Researchers at Qingdao University (Developm ent and Validation of a Computed Tomographybased Radiomics Nomogram for the Pre operative Prediction of Central Lymph Node Metastasis In Papillary Thyroid ...)

青岛大学研究人员报告的机器学习数据(基于CT的甲状腺乳头状癌中央淋巴结转移术前预测的放射组学列线图的开发和验证...)

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摘要

机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-关于机器学习的最新研究结果已经发表。根据NewsRx记者源于中国人民共和国烟台的新闻报道,研究称,“本研究旨在开发和验证一种基于计算机断层扫描(CT)的放射组学列线图,用于术前预测甲状腺乳头状微小癌(PTMC)患者的中央淋巴结转移(CLNM),并通过USI NG RNA测序数据探讨其潜在的生物学基础。本研究从2012年1月至2020年12月对两家医院452名PTMC患者进行了培训。”本研究的资助者包括山东省重点研发项目泰山学者项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting originating in Yantai, People’s Republ ic of China, by NewsRx journalists, research stated, “This study aims to develop and validate a computed tomography (CT)-based radiomics nomogram for preoperati vely predicting central lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC) and explore the underlying biological basis by usi ng RNA sequencing data. This study trained 452 PTMC patients across two hospital s from January 2012 to December 2020.” Funders for this research include Taishan Scholar Project, Key R&D Project of Shandong Province.

Key words

Yantai/People’s Republic of China/Asia/Computed Tomography/Cyborgs/Emerging Technologies/Health and Medicine/Hemi c and Immune Systems/Imaging Technology/Immunology/Lymph Nodes/Lymphoid Tiss ue/Machine Learning/Risk and Prevention/Support Vector Machines/Technology/Qingdao University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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