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This study aimed to review the performance of machine learning (ML) methods compared with conventional statistical models (CSMs) for predicting readmission and mortality in patients with heart failure (HF) and… Click to show full abstract
This study aimed to review the performance of machine learning (ML) methods compared with conventional statistical models (CSMs) for predicting readmission and mortality in patients with heart failure (HF) and to present an approach to formally evaluate the quality of studies using ML algorithms for prediction modelling.
Keywords:
machine learning;
heart;
conventional statistical;
heart failure;
statistical models
Journal Title: ESC Heart Failure
Year Published: 2020
Link to full text (if available)
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Journal Title: ESC Heart Failure
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!