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MIT Researchers Develop New Technique to Reduce Bias and Improve Accuracy in ML Models

Summary by aiwire.net
Machine learning (ML) has the potential to transform decision-making in healthcare by leveraging vast amounts of data for predictive insights. However, a key challenge emerges when these models are trained on datasets that inadequately represent all demographic groups. A model that predicts a treatment plan for someone with a disease may be trained on a dataset that predominantly contains male patients. This can lead to inaccurate predictions fo…
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