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ML applications in HF show promise for outcomes and efficiency; leaves open need for prospective validation before practice change.
Machine learning and deep learning methods show potential to improve heart failure diagnosis, classification, readmission prediction, and medication adherence.
Awan et al. (2017) studied this question.