MiCHAMP Collaboration on Machine Learning and ARDS published in IEEE Journal
When training a machine learning algorithm for a supervised-learning task in some clinical applications, uncertainty in the correct labels of patients may adversely affect the performance of the algorithm. For example, even clinical experts may have less confidence when assigning a medical diagnosis to some patients because of ambiguity in the patient’s case or imperfect…