Identifying Modifiable Predictors of COVID-19 Vaccine Side Effects: A Machine Learning Approach.
- DOI
- 10.3390/vaccines10101747
- Published
- 2022 Oct 19
- Container
- Vaccines
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/vaccines10101747,
title = {Identifying Modifiable Predictors of COVID-19 Vaccine Side Effects: A Machine Learning Approach.},
author = {Abbaspour S and Robbins GK and Blumenthal KG and Hashimoto D and Hopcia K and Mukerji SS and Shenoy ES and Wang W and Klerman EB},
year = {2022},
journal = {Vaccines},
doi = {10.3390/vaccines10101747},
url = {https://doi.org/10.3390/vaccines10101747}
}RIS
TY - JOUR TI - Identifying Modifiable Predictors of COVID-19 Vaccine Side Effects: A Machine Learning Approach. AU - Abbaspour S AU - Robbins GK AU - Blumenthal KG AU - Hashimoto D AU - Hopcia K AU - Mukerji SS AU - Shenoy ES AU - Wang W AU - Klerman EB PY - 2022 JO - Vaccines DO - 10.3390/vaccines10101747 UR - https://doi.org/10.3390/vaccines10101747 ER -
APA
S, A., GK, R., KG, B., D, H., K, H., SS, M., ES, S., W, W., & EB, K. (2022). Identifying Modifiable Predictors of COVID-19 Vaccine Side Effects: A Machine Learning Approach.. Vaccines. https://doi.org/10.3390/vaccines10101747
Source records
- pubmed · retrieved 2026-09-26T17:33:20.103Z