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Exploring Factors Influencing Performance of Machine Learning Models in Healthcare and Beyond
Exploring the reasons behind poor performance of machine learning models, including issues with data quality, biased problem selection, biased data collection, and the injection of bias into labels, as well as the impact of human behavior on the labeling process.