Beth Israel Deaconess Medical Center Reports Findings in Machine Learning (From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboem bolism Prevention, Diagnosis, and Management)

Robotics & Machine Learning Daily News2024，Issue(Dec.20) ：79-80.

来源：

NETL
NSTL

Beth Israel Deaconess Medical Center Reports Findings in Machine Learning (From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboem bolism Prevention, Diagnosis, and Management)

扫码查看

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 originating from Boston, Mass achusetts, by NewsRx correspondents, research stated, “The highincidence of ven ous thromboembolism (VTE) globally and the morbidity and mortality burden associ atedwith the disease make it a pressing issue. Machine learning (ML) can improv e VTE prevention, detection,and treatment.”

Key words

Boston/Massachusetts/United States/No rth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Risk and Prevention/Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航