Correction: High adherence and low dropout rate in a virtual clinical study of atopic dermatitis through weekly reward-based personalized genetic lifestyle reports
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0237824
Subject(s) - atopic dermatitis , dropout (neural networks) , medicine , personalized medicine , medline , bioinformatics , dermatology , computer science , biology , machine learning , biochemistry
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