AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data

Han Yuan, Feng Xie, Marcus Eng Hock Ong +7

Background: Medical decision-making impacts both individual and public health. Clinical scores are commonly used among a wide variety of decision-making models for determining the…