Key result
Machine learning classification algorithms predicted global and medication adherence in heart failure patients with highest detection accuracies of 82% and 91%, respectively.
Why the study?
Can machine learning techniques accurately predict global and medication adherence in patients with heart failure?
Can machine learning techniques accurately predict global and medication adherence in patients with heart failure?
Machine learning algorithms can predict medication and global adherence in heart failure patients with high accuracy (up to 91%).
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ML models predict HF adherence with high accuracy; leaves open whether they improve outcomes or warrant clinical adoption.
Karanasiou et al. (2016) studied Heart failure (n=90). Machine learning classification algorithms was evaluated on Detection accuracy for global adherence and medication adherence. Machine learning classification algorithms predicted global and medication adherence in heart failure patients with highest detection accuracies of 82% and 91%, respectively.
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