Addressing bias in prediction models by improving subpopulation calibration
Author(s) -
Noam Barda,
Gal Yona,
Guy N. Rothblum,
Philip Greenland,
Morton Leibowitz,
Ran D. Balicer,
Eitan Bachmat,
Noa Dagan
Publication year - 2020
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocaa283
Subject(s) - calibration , computer science , artificial intelligence , machine learning , statistics , mathematics
To illustrate the problem of subpopulation miscalibration, to adapt an algorithm for recalibration of the predictions, and to validate its performance.
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