What can machines learn about heart failure? A systematic literature review

Mathematics

• Heart Failure 100%
• Literature Review 88%
• Machine Learning 66%
• Min-max 16%
• Cardiomyopathy 14%
• Prediction 12%
• Randomized Controlled Trial 11%
• Random Forest 11%
• Clustering Methods 10%
• Cohort Study 9%
• Prediction Model 9%
• Decision tree 9%
• Support Vector Machine 9%
• Collaboration 9%
• Data Mining 8%
• Mortality 8%
• Logistic Regression 8%
• Model 7%
• Clustering 7%
• Synthesis 6%
• Sample Size 5%
• Evaluation 5%
• Review 5%
• Interpretation 5%
• Testing 5%
• Subgroup 5%

Engineering & Materials Science

• Machine learning 44%
• Data Science 20%
• Logistic regression 8%
• Data Analytics 8%
• Random forests 7%
• Decision trees 7%
• Data mining 6%
• Support vector machines 6%