Detecting time-evolving phenotypic components of adverse reactions against BNT162b2 SARS-CoV-2 vaccine via non-negative tensor factorization

Symptoms of adverse reactions to vaccines evolve over time, but traditional studies have focused only on the frequency and intensity of symptoms. Here, we attempt to extract the dynamic changes in vaccine adverse reaction symptoms as a small number of interpretable components by using non-negative t...

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Detalles Bibliográficos
Autores principales: Ikeda, Kei, Nakada, Taka-Aki, Kageyama, Takahiro, Tanaka, Shigeru, Yoshida, Naoki, Ishikawa, Tetsuo, Goshima, Yuki, Otaki, Natsuko, Iwami, Shingo, Shimamura, Teppei, Taniguchi, Toshibumi, Igari, Hidetoshi, Hanaoka, Hideki, Yokote, Koutaro, Tsuyuzaki, Koki, Nakajima, Hiroshi, Kawakami, Eiryo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515008/
https://www.ncbi.nlm.nih.gov/pubmed/36188188
http://dx.doi.org/10.1016/j.isci.2022.105237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515008/
https://www.ncbi.nlm.nih.gov/pubmed/36188188
http://dx.doi.org/10.1016/j.isci.2022.105237

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