Robotics & Machine Learning Daily News2024,Issue(Jun.5) :25-26.

Recent Studies from First Affiliated Hospital of Sun Yat-Sen University Add New Data to Machine Learning (A machine learning-based model for 'In-time' predictio n of periprosthetic joint infection)

中山大学附属第一医院最近的研究为机器学习(一种基于机器学习的人工关节周围感染实时预测模型)增添了新的数据

Robotics & Machine Learning Daily News2024,Issue(Jun.5) :25-26.

Recent Studies from First Affiliated Hospital of Sun Yat-Sen University Add New Data to Machine Learning (A machine learning-based model for 'In-time' predictio n of periprosthetic joint infection)

中山大学附属第一医院最近的研究为机器学习(一种基于机器学习的人工关节周围感染实时预测模型)增添了新的数据

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一份新报告的主题。根据NewsRx记者在中华民国广州的新闻报道,研究表明:“以前的诊断在人工关节周围感染(PJI)的早期诊断价值有限。在这里,我们构建了一个新的机器学习(ML)衍生的PJI“及时”诊断系统,并证明了其有效性。”本研究的资助机构包括广东省基础与应用基础研究基金、国家自然科学基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Guangzhou, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Previous crit eria had limited value in early diagnosis of periprosthetic joint infection (PJI ). Here, we constructed a novel machine learning (ML)-derived, “in-time” diagnos tic system for PJI and proved its validity.” Financial supporters for this research include Basic And Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China.

Key words

First Affiliated Hospital of Sun Yat-Sen University/Guangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Tech nologies/Machine Learning/Support Vector Machines/Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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