Robotics & Machine Learning Daily News2024,Issue(Dec.2) :142-143.

Yantaishan Hospital Reports Findings in Machine Learning (A study of machine lea rning to predict NRDS severity based on lung ultrasound score and clinical indic ators)

燕台山医院报告机器学习的发现(基于肺超声评分和临床指标的机器学习预测NRDS严重程度的研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :142-143.

Yantaishan Hospital Reports Findings in Machine Learning (A study of machine lea rning to predict NRDS severity based on lung ultrasound score and clinical indic ators)

燕台山医院报告机器学习的发现(基于肺超声评分和临床指标的机器学习预测NRDS严重程度的研究)

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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编辑从中国人民共和国烟台报道,研究称,“发展”新生儿呼吸窘迫综合征(NRDS)的机器学习预测模型以提高严重程度预测的准确性。这项双盲队列研究包括230名新生儿2020年12月至2005年12月在燕台山医院新生儿重症监护室(NICU)住院2023年6月。

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 Yantai, People’s Repub lic of China, by NewsRx editors, research stated, “To developpredictive models for neonatal respiratory distress syndrome (NRDS) using machine learning algorit hmsto improve the accuracy of severity predictions. This double-blind cohort st udy included 230 neonatesadmitted to the neonatal intensive care unit (NICU) of Yantaishan Hospital between December 2020 andJune 2023.”

Key words

Yantai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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