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Filtering instances and rejecting predictions to obtain reliable models in healthcare

arXiv — cs.LG•Wednesday, October 29, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
A new study highlights a two-step approach to improve machine learning models in healthcare, focusing on enhancing data quality and filtering out low-confidence predictions. This is crucial because reliable predictions can significantly impact patient outcomes, making it essential for healthcare professionals to trust the models they use. By addressing uncertainty in predictions, this research aims to bolster the effectiveness of ML applications in high-stakes environments, ultimately leading to better healthcare solutions.
— via World Pulse Now AI Editorial System
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