Robotics & Machine Learning Daily News2024,Issue(Aug.14) :24-25.

University of Kebangsaan Reports Findings in Cardiovascular Diseases and Conditi ons (Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitti ng …)

Robotics & Machine Learning Daily News2024,Issue(Aug.14) :24-25.

University of Kebangsaan Reports Findings in Cardiovascular Diseases and Conditi ons (Enhanced feature selection and ensemble learning for cardiovascular disease prediction: hybrid GOL2-2 T and adaptive boosted decision fusion with babysitti ng …)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Disease s and Conditions is the subject of a report.According to news reporting from Se langor, Malaysia, by NewsRx journalists, research stated, “GlobalCardiovascular disease (CVD) is still one of the leading causes of death and requires the enha ncement ofdiagnostic methods for the effective detection of early signs and pre diction of the disease outcomes. The current diagnostic tools are cumbersome and imprecise especially with complex diseases, thus emphasizingthe incorporation of new machine learning applications in differential diagnosis.”

Key words

Selangor/Malaysia/Asia/Cardiology/Ca rdiovascular/Cardiovascular Diseases and Conditions/Cardiovascular Research/C yborgs/Emerging Technologies/Health and Medicine/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文