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Posted: 2025-04-24 05:02:01 UTC
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
Status
Last Updated
2025-04-24 05:02:40 UTC
Verified By
Rollup News
A study published in the European Heart Journal - Acute Cardiovascular Care (EHJACVC) investigates whether machine learning models can improve the detection of acute heart failure (AHF) in the emergency room using standard 12-lead ECGs combined with clinical data. The study screened ECG data from 19,285 patients between 2016 and 2020, with 9,119 diagnosed with AHF.
Machine learning model for AHF detection
ECG data analysis
Emergency room diagnostics