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Machine learning model identifies heart failure with reduced ejection fraction using routine lab indicators
Zhiping Meng, from the Eighth Affiliated Hospital of Guangxi Medical University in Guigang, China, and colleagues developed and internally evaluated a routine laboratory-based machine-learning model to distinguish HFrEF from HF with mild…
AI Summary
A study published online on Aug. 9 in Frontiers in Cardiovascular Medicine reports that a model using 13 routine laboratory indicators provides moderate discrimination for identifying heart failure with reduced ejection fraction (HFrEF).
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