Robotics & Machine Learning Daily News2024,Issue(Nov.11) :88-89.

Fudan University Reports Findings in Machine Learning (Evaluation of four machin e learning methods in predicting orthodontic extraction decision from clinical e xamination data and analysis of feature contribution)

复旦大学报告机器学习的发现(评价四种机器学习方法在预测正畸拔牙决策中的临床数据和特征贡献分析)

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :88-89.

Fudan University Reports Findings in Machine Learning (Evaluation of four machin e learning methods in predicting orthodontic extraction decision from clinical e xamination data and analysis of feature contribution)

复旦大学报告机器学习的发现(评价四种机器学习方法在预测正畸拔牙决策中的临床数据和特征贡献分析)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道来自中国人民代表大会上海,由NewsRx记者报道,研究称:“研究了基于四种机器学习方法的拔牙决策,并对其进行了分析以期为拔牙计划的实验提供重要依据,为正畸治疗计划提供参考。本研究收集了192例临床资料有错误诊断和治疗计划的患者。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thestudy aims to pr edict tooth extraction decision based on four machine learning methods and analy ze thefeature contribution, so as to shed light on the important basis for expe rts of tooth extraction planning,providing reference for orthodontic treatment planning. This study collected clinical information of 192patients with maloccl usion diagnosis and treatment plans.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/Ortho dontics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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