分子生体防御学講座

弘前大学大学院 医学研究科 バイオメディカルリサーチセンター

Using Machine Learning to Identify Factors Affecting Antibody Production and Adverse Reactions After COVID-19 Vaccination


Journal article


Nahomi Miyamoto, Tohru Yamaguchi, Yoshinori Tamada, Seiya Yamayoshi, Koichi Murashita, Ken Itoh, Seiya Imoto, Norihiro Saito, Tatsuya Mikami, Shigeyuki Nakaji
Vaccines (Basel), vol. 14(2), Switzerland, 2026 Jan


https://www.mdpi.com/2076-393X/14/2/115
Cite

Cite

APA   Click to copy
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   Click to copy
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   Click to copy
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}
}