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Sparse Bernoulli mixture modeling with negative-unlabeled data: an approach to identify and characterize long COVID.

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Bibliographic Details
Title: Sparse Bernoulli mixture modeling with negative-unlabeled data: an approach to identify and characterize long COVID.
Authors: Cao, Tingyi1, tingyi_cao@hsph.harvard.edu, Reeder, Harrison T2,3, Foulkes, Andrea S1,2,3
Source: Biometrics; Mar2025, Vol. 81 Issue 1, p1-11, 11p
Database: Applied Science & Technology Source
Description
ISSN:0006341X
DOI:10.1093/biomtc/ujaf021