Davide Ferrari, Veronica Guidetti, Vasa Curcin, Yanzhong Wang. Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art. In AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022. AMIA, 2022. [doi]
@inproceedings{FerrariGCW22,
title = {Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art},
author = {Davide Ferrari and Veronica Guidetti and Vasa Curcin and Yanzhong Wang},
year = {2022},
url = {https://knowledge.amia.org/76677-amia-1.4637602/f006-1.4642154/f006-1.4642155/877-1.4642417/511-1.4642414},
researchr = {https://researchr.org/publication/FerrariGCW22},
cites = {0},
citedby = {0},
booktitle = {AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022},
publisher = {AMIA},
}