Journal article
Vaccines (Basel), vol. 14(2), Switzerland, 2026 Jan
APA
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Miyamoto, N., Yamaguchi, T., Tamada, Y., Yamayoshi, S., Murashita, K., Itoh, K., … Nakaji, S. (2026). Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination. Vaccines (Basel), 14(2). https://doi.org/10.3390/vaccines14020115
Chicago/Turabian
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Miyamoto, Nahomi, Tohru Yamaguchi, Yoshinori Tamada, Seiya Yamayoshi, Koichi Murashita, Ken Itoh, Seiya Imoto, Norihiro Saito, Tatsuya Mikami, and Shigeyuki Nakaji. “Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination.” Vaccines (Basel) 14, no. 2 (January 2026).
MLA
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Miyamoto, Nahomi, et al. “Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination.” Vaccines (Basel), vol. 14, no. 2, Jan. 2026, doi:10.3390/vaccines14020115.
BibTeX Click to copy
@article{miyamoto2026a,
title = {Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination},
year = {2026},
month = jan,
address = {Switzerland},
issue = {2},
journal = {Vaccines (Basel)},
volume = {14},
doi = {10.3390/vaccines14020115},
author = {Miyamoto, Nahomi and Yamaguchi, Tohru and Tamada, Yoshinori and Yamayoshi, Seiya and Murashita, Koichi and Itoh, Ken and Imoto, Seiya and Saito, Norihiro and Mikami, Tatsuya and Nakaji, Shigeyuki},
month_numeric = {1}
}