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Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome

When training a machine learning algorithm for a supervised-learning task in some clinical applications, uncertainty in the correct labels of some patients may adversely affect the performance of the algorithm. For example, even clinical experts may have less confidence when assigning a medical diag...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:IEEE J Biomed Health Inform
Main Authors: Reamaroon, Narathip, Sjoding, Michael W., Lin, Kaiwen, Iwashyna, Theodore J., Najarian, Kayvan
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6351314/
https://ncbi.nlm.nih.gov/pubmed/29994592
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2018.2810820
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