Robotics & Machine Learning Daily News2024,Issue(Jul.1) :98-99.

Affiliated Hospital of Qingdao University Reports Findings in Artificial Intelli gence (Personalized prediction of mortality in patients with acute ischemic stro ke using explainable artificial intelligence)

青岛大学附属医院报告人工智能研究结果(应用可解释人工智能个性化预测急性缺血性脑卒中患者死亡率)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :98-99.

Affiliated Hospital of Qingdao University Reports Findings in Artificial Intelli gence (Personalized prediction of mortality in patients with acute ischemic stro ke using explainable artificial intelligence)

青岛大学附属医院报告人工智能研究结果(应用可解释人工智能个性化预测急性缺血性脑卒中患者死亡率)

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摘要

一位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篇报道的主题。根据NewsRx记者在中国青岛的新闻报道,研究表明:“对急性缺血性卒中(AIS)后的急性肾脏疾病(AKD)的研究很少,临床特征如何影响其预后尚不清楚,我们旨在采用Interpretable Machine Learning(ML)模型来研究AIS,阐明其在识别死亡风险方面的决策过程。”本研究的资助者包括山东省泰山学者计划、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 report. According to news reporting from Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “Research into the a cute kidney disease (AKD) after acute ischemic stroke (AIS) is rare, and how cli nical features influence its prognosis remain unknown. We aim to employ interpre table machine learning (ML) models to study AIS and clarify its decision-making process in identifying the risk of mortality.” Funders for this research include Taishan Scholar Program of Shandong Province, National Natural Science Foundation of China.

Key words

Qingdao/People's Republic of China/Asi a/Artificial Intelligence/Cerebrovascular Diseases and Conditions/Emerging Te chnologies/Health and Medicine/Machine Learning/Risk and Prevention/Stroke

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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