Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach
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Public healthcare has a history of cautious adoption for artificial intelligence (AI) systems. The rapid growth of data collection and linking capabilities combined with the increasing diversity of the data-driven AI techniques, including machine learning (ML)... ...
