Open AccessPolar labeling: silver standard algorithm for training disease classifiers
Author(s) -
Kavishwar B. Wagholikar,
Hossein Estiri,
Marykate Murphy,
Shawn N. Murphy
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa088
Subject(s) - python (programming language) , computer science , machine learning , artificial intelligence , gold standard (test) , algorithm , training set , test data , data mining , programming language , mathematics , statistics
Expert-labeled data are essential to train phenotyping algorithms for cohort identification. However expert labeling is time and labor intensive, and the costs remain prohibitive for scaling phenotyping to wider use-cases.
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