Findings on Machine Learning Reported by Investigators at Cornell University (Us e of Machine Learning and Poincare Density Grid In the Diagnosis of Sinus Node D ysfunction Caused By Sinoatrial Conduction Block In Dogs)

Robotics & Machine Learning Daily News2024，Issue(MAY.28) ：2-3.

来源：

NETL
NSTL

Findings on Machine Learning Reported by Investigators at Cornell University (Us e of Machine Learning and Poincare Density Grid In the Diagnosis of Sinus Node D ysfunction Caused By Sinoatrial Conduction Block In Dogs)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news reporting originating from Ithaca, New York, by NewsRx correspondents, research stated, "Sinus node dysfunction because of abnor mal impulse generation or sinoatrial conduction block causes bradycardia that ca n be difficult to differentiate from high parasympathetic/low sympathetic modula tion (HP/LSM). Beat-to-beat relationships of sinus node dysfunction are quantifi ably distinguishable by Poincar & eacute; plots, machine learning, and 3-dimensional density grid analysis."

Key words

Ithaca/New York/United States/North a nd Central America/Cyborgs/Emerging Technologies/Machine Learning/Cornell Un iversity

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航