Sheida Majouni, Jong-Sung Kim, Ellen Sweeney, Erin Keltie, Syed Sibte Raza Abidi. Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases. In Brigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna 0001, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos, editors, Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022. Volume 294 of Studies in Health Technology and Informatics, pages 3-7, IOS Press, 2022. [doi]
@inproceedings{MajouniKSKA22,
title = {Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases},
author = {Sheida Majouni and Jong-Sung Kim and Ellen Sweeney and Erin Keltie and Syed Sibte Raza Abidi},
year = {2022},
doi = {10.3233/SHTI220385},
url = {https://doi.org/10.3233/SHTI220385},
researchr = {https://researchr.org/publication/MajouniKSKA22},
cites = {0},
citedby = {0},
pages = {3-7},
booktitle = {Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022},
editor = {Brigitte Séroussi and Patrick Weber and Ferdinand Dhombres and Cyril Grouin and Jan-David Liebe and Sylvia Pelayo and Andrea Pinna 0001 and Bastien Rance and Lucia Sacchi and Adrien Ugon and Arriel Benis and Parisis Gallos},
volume = {294},
series = {Studies in Health Technology and Informatics},
publisher = {IOS Press},
isbn = {978-1-64368-285-3},
}