Robotics & Machine Learning Daily News2024,Issue(Jun.20) :33-34.

Second Affiliated Hospital of Soochow University Reports Findings in Machine Lea rning (A new machine learning model to predict the prognosis of cardiogenic brai n infarction)

苏州大学第二附属医院报告机器学习(预测心源性脑梗塞预后的新机器学习模型)的发现

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :33-34.

Second Affiliated Hospital of Soochow University Reports Findings in Machine Lea rning (A new machine learning model to predict the prognosis of cardiogenic brai n infarction)

苏州大学第二附属医院报告机器学习(预测心源性脑梗塞预后的新机器学习模型)的发现

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摘要

一位新闻记者-机器人与机器学习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告的主题。据新华社记者从苏州发回的新闻报道,“心源性脑梗塞(CCI)是指患者心脏动脉粥样硬化或冠状动脉狭窄导致脑血管供血不足,导致神经功能障碍的疾病。”为探讨心源性脑梗塞的病因,本文提出了一个基于机器学习的分析预测模型,将2017年1月至2021年12月首次住院的494例CCI患者纳入研究,并于出院后每3个月随访1年。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Suzhou, People 's Republic of China, by NewsRx journalists, research stated, "Cardiogenic cereb ral infarction (CCI) is a disease in which the blood supply to the blood vessels in the brain is insufficient due to atherosclerosis or stenosis of the coronary arteries in the patient's heart, which leads to neurological deficits. To predi ct the pathogenic factors of cardiogenic cerebral infarction, this paper propose s a machine learning based analytical prediction model. 494 patients with CCI wh o were hospitalized for the first time were consecutively included in the study between January 2017 and December 2021, and followed up every three months for o ne year after hospital discharge."

Key words

Suzhou/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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