Robotics & Machine Learning Daily News2024,Issue(Nov.15) :60-61.

Medical University of Innsbruck Reports Findings in Machine Learning (Machine le arning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality)

因斯布鲁克医科大学报告了机器学习的发现(包括肿瘤学患者报告结果数据的机器学习模型:系统文献回顾和报告质量分析)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :60-61.

Medical University of Innsbruck Reports Findings in Machine Learning (Machine le arning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality)

因斯布鲁克医科大学报告了机器学习的发现(包括肿瘤学患者报告结果数据的机器学习模型:系统文献回顾和报告质量分析)

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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NewsRx编辑从奥地利因斯布鲁克报道,研究称,“批判性地审视当前的中国学习状况(ML)模型包括患者报告的结果测量(PROM)SCO癌症研究,通过调查当前有效研究的报告质量并提出研究领域未来ML在FIELD中的应用改进。对PubMed和Web of Science进行了系统检索以PROM分数作为前两者的ML模型研究癌症患者的s研究判词或结果"。

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 newsreporting out of Innsbruck, Austria, by NewsRx editors, research stated, “To critically examine the currentstate of ma chine learning (ML) models including patient-reported outcome measure (PROM) sco res incancer research, by investigating the reporting quality of currently avai lable studies and proposing areas ofimprovement for future use of ML in the fie ld. PubMed and Web of Science were systematically searchedfor publications of s tudies on patients with cancer applying ML models with PROM scores as either predictors or outcomes.”

Key words

Innsbruck/Austria/Europe/Cyborgs/Eme rging Technologies/Health and Medicine/Machine Learning/Oncology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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