Robotics & Machine Learning Daily News2024,Issue(Jun.10) :100-101.

Dalian University of Technology Reports Findings in Subarachnoid Hemorrhage (Pre dicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrha ge using machine learning approach: a multicenter, retrospective cohort study)

大连理工大学报道蛛网膜下腔出血的发现(用机器学习方法预测动脉瘤性蛛网膜下腔出血后迟发性脑缺血的多中心回顾性队列研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :100-101.

Dalian University of Technology Reports Findings in Subarachnoid Hemorrhage (Pre dicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrha ge using machine learning approach: a multicenter, retrospective cohort study)

大连理工大学报道蛛网膜下腔出血的发现(用机器学习方法预测动脉瘤性蛛网膜下腔出血后迟发性脑缺血的多中心回顾性队列研究)

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摘要

一位新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-中枢神经系统疾病和状况的新研究-蛛网膜下腔出血是一篇报道的主题。根据NewsRx记者源自中华人民共和国大连的新闻报道,研究表明:“延迟性脑缺血(DCI)的早期预测对于改善动脉瘤性蛛网膜下腔出血(aSAH)的预后至关重要。机器学习(ML)算法可以毫无偏见地从复杂的信息中学习,并有助于早期识别临床结果。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Central Nervous System Diseases and Conditions - Subarachnoid Hemorrhage is the subject of a report. A ccording to news reporting originating in Dalian, People’s Republic of China, by NewsRx journalists, research stated, “Early prediction of delayed cerebral isch emia (DCI) is critical to improving the prognosis of aneurysmal subarachnoid hem orrhage (aSAH). Machine learning (ML) algorithms can learn from intricate inform ation unbiasedly and facilitate the early identification of clinical outcomes.”

Key words

Dalian/People’s Republic of China/Asia/Brain Diseases and Conditions/Brain Ischemia/Cardiovascular Diseases and Con ditions/Central Nervous System Diseases and Conditions/Cerebrovascular Disorde rs/Clinical Research/Clinical Trials and Studies/Cyborgs/Emerging Technologi es/Health and Medicine/Intracranial Hemorrhages/Ischemia/Machine Learning/Risk and Prevention/Subarachnoid Hemorrhage/Vascular Diseases and Conditions

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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