Learning classification models from multiple experts

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Learning classification models from multiple experts

Building classification models from clinical data using machine learning methods often relies on labeling of patient examples by human experts. Standard machine learning framework assumes the labels are assigned by a homogeneous process. However, in reality the labels may come from multiple experts and it may be difficult to obtain a set of class labels everybody agrees on; it is not uncommon t...

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ژورنال

عنوان ژورنال: Journal of Biomedical Informatics

سال: 2013

ISSN: 1532-0464

DOI: 10.1016/j.jbi.2013.08.007