De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository.
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| Title: | De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository. |
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| Authors: | Pfaff, Emily R1, epfaff@email.unc.edu, Girvin, Andrew T2, Crosskey, Miles3, Gangireddy, Srushti4, Master, Hiral5, Wei, Wei-Qi4, Kerchberger, V Eric6, Weiner, Mark7, Harris, Paul A4, Basford, Melissa5, Lunt, Chris8, Chute, Christopher G9, Moffitt, Richard A10, Haendel, Melissa11, Consortia, N3C and RECOVER |
| Source: | Journal of the American Medical Informatics Association; Jul2023, Vol. 30 Issue 7, p1305-1312, 8p, 3 Charts, 2 Graphs |
| Database: | Applied Science & Technology Source |
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