Robotics & Machine Learning Daily News2024,Issue(Aug.20) :48-49.

University of Toronto Reports Findings in Heart Failure (Comparison of Machine L earning and Conventional Statistical Modeling for Predicting Readmission Followi ng Acute Heart Failure Hospitalization)

Robotics & Machine Learning Daily News2024,Issue(Aug.20) :48-49.

University of Toronto Reports Findings in Heart Failure (Comparison of Machine L earning and Conventional Statistical Modeling for Predicting Readmission Followi ng Acute Heart Failure Hospitalization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Failure is the subject of a report.According to news reporting o riginating in Toronto, Canada, by NewsRx journalists, research stated,“Developi ng accurate models for predicting the risk of 30-day readmission is a major heal thcare interest.Evidence suggests that models developed using machine learning (ML) may have better discriminationthan conventional statistical models (CSM), but the calibration of such models is unclear.”

Key words

Toronto/Canada/North and Central Ameri ca/Cardiology/Cardiovascular/Cardiovascular Diseases and Conditions/Cardiova scular Research/Cyborgs/Emerging Technologies/Health and Medicine/Heart Dise ase/Heart Disorders and Diseases/Heart Failure/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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