Miyamoto, N.; Yamaguchi, T.; Tamada, Y.; Yamayoshi, S.; Murashita, K.; Itoh, K.; Imoto, S.; Saito, N.; Mikami, T.; Nakaji, S.
Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination. Vaccines 2026, 14, 115.
https://doi.org/10.3390/vaccines14020115
AMA Style
Miyamoto N, Yamaguchi T, Tamada Y, Yamayoshi S, Murashita K, Itoh K, Imoto S, Saito N, Mikami T, Nakaji S.
Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination. Vaccines. 2026; 14(2):115.
https://doi.org/10.3390/vaccines14020115
Chicago/Turabian Style
Miyamoto, Nahomi, Tohru Yamaguchi, Yoshinori Tamada, Seiya Yamayoshi, Koichi Murashita, Ken Itoh, Seiya Imoto, Norihiro Saito, Tatsuya Mikami, and Shigeyuki Nakaji.
2026. "Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination" Vaccines 14, no. 2: 115.
https://doi.org/10.3390/vaccines14020115
APA Style
Miyamoto, N., Yamaguchi, T., Tamada, Y., Yamayoshi, S., Murashita, K., Itoh, K., Imoto, S., Saito, N., Mikami, T., & Nakaji, S.
(2026). Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination. Vaccines, 14(2), 115.
https://doi.org/10.3390/vaccines14020115