Robotics & Machine Learning Daily News2024,Issue(Nov.8) :55-56.

Study Findings on Machine Learning Are Outlined in Reports from University of So uthern Florida (Determinants of Safety Outcomes In Organizations: Exploring Onet Data To Predict Occupational Accident Rates)

关于机器学习的研究结果概述于南佛罗里达大学(安全性结果的决定因素)在组织中:探索Onet数据预测职业事故率

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :55-56.

Study Findings on Machine Learning Are Outlined in Reports from University of So uthern Florida (Determinants of Safety Outcomes In Organizations: Exploring Onet Data To Predict Occupational Accident Rates)

关于机器学习的研究结果概述于南佛罗里达大学(安全性结果的决定因素)在组织中:探索Onet数据预测职业事故率

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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-调查人员发布马学习的新报告。根据新闻报道来自佛罗里达州坦帕市的NewsRx Journ Alists的研究表明,“尽管工作场所安全研究是常见的致命及非致命职业意外经常发生,主要集中在在检查安全结果的预测因素时缺乏统一的方法。我们争论采用与作业分析数据相结合的综合方法,并使用较新的机器学习方法可以支持和扩展使用传统统计方法的横断面研究的FINDI NGS。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Tampa, Florida, by NewsRx journ alists, research stated, “Although workplace safety research iscommon given the frequent occurrence of fatal and nonfatal occupational accidents, it has focuse d mainlyon safety climate and lacks a unified approach when examining predictor s of safety outcomes. We arguethat adopting an integrated approach with job ana lysis data and using newer machine learning methodscan support and extend findi ngs from cross-sectional research studies using traditional statistical methods.”

Key words

Tampa/Florida/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University o f Southern Florida

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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