Machine Learning Could Facilitate Optimal Titration of Guideline-Directed Medical Therapy in Heart Failure.
Most treatment-eligible patients with heart failure (HF) and reduced ejection fraction in the CHAMP-HF (Change the Management of Patients with Heart Failure) registry [(1)][1] in the United States did not receive target doses of guideline-directed medical therapy (GDMT). Although most submaximal
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Machine Learning Could Facilitate Optimal Titration of Guideline-Directed Medical Therapy in Heart Failure.
Semantic Scholar · Medicine · 2019
Abstract
Most treatment-eligible patients with heart failure (HF) and reduced ejection fraction in the CHAMP-HF (Change the Management of Patients with Heart Failure) registry [(1)][1] in the United States did not receive target doses of guideline-directed medical therapy (GDMT). Although most submaximal