Closing the Gap in Surveillance and Audit of Invasive Mold Diseases for Antifungal Stewardship Using Machine Learning
- Supplementary File 1:
PDF-Document (PDF, 187 KiB)
Baggio, D.; Peel, T.; Peleg, A.Y.; Avery, S.; Prayaga, M.; Foo, M.; Haffari, G.; Liu, M.; Bergmeir, C.; Ananda-Rajah, M. Closing the Gap in Surveillance and Audit of Invasive Mold Diseases for Antifungal Stewardship Using Machine Learning. J. Clin. Med. 2019, 8, 1390. https://doi.org/10.3390/jcm8091390
Baggio D, Peel T, Peleg AY, Avery S, Prayaga M, Foo M, Haffari G, Liu M, Bergmeir C, Ananda-Rajah M. Closing the Gap in Surveillance and Audit of Invasive Mold Diseases for Antifungal Stewardship Using Machine Learning. Journal of Clinical Medicine. 2019; 8(9):1390. https://doi.org/10.3390/jcm8091390
Chicago/Turabian StyleBaggio, Diva, Trisha Peel, Anton Y. Peleg, Sharon Avery, Madhurima Prayaga, Michelle Foo, Gholamreza Haffari, Ming Liu, Christoph Bergmeir, and Michelle Ananda-Rajah. 2019. "Closing the Gap in Surveillance and Audit of Invasive Mold Diseases for Antifungal Stewardship Using Machine Learning" Journal of Clinical Medicine 8, no. 9: 1390. https://doi.org/10.3390/jcm8091390