Yao, Heming, Derksen, Harm, Golbus, Jessica R., Zhang, Justin, Aaronson, Keith D., Gryak, Jonathan, and Najarian, Kayvan. A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. Retrieved from https://par.nsf.gov/biblio/10437124. IEEE Journal of Biomedical and Health Informatics 27.1 Web. doi:10.1109/JBHI.2022.3211765.

Yao, Heming, Derksen, Harm, Golbus, Jessica R., Zhang, Justin, Aaronson, Keith D., Gryak, Jonathan, & Najarian, Kayvan. A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE Journal of Biomedical and Health Informatics, 27 (1). Retrieved from https://par.nsf.gov/biblio/10437124. https://doi.org/10.1109/JBHI.2022.3211765

Yao, Heming, Derksen, Harm, Golbus, Jessica R., Zhang, Justin, Aaronson, Keith D., Gryak, Jonathan, and Najarian, Kayvan. "A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies". IEEE Journal of Biomedical and Health Informatics 27 (1). Country unknown/Code not available. https://doi.org/10.1109/JBHI.2022.3211765. https://par.nsf.gov/biblio/10437124.

@article{osti_10437124,
place = {Country unknown/Code not available}, title = {A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies}, url = {https://par.nsf.gov/biblio/10437124}, DOI = {10.1109/JBHI.2022.3211765}, abstractNote = {}, journal = {IEEE Journal of Biomedical and Health Informatics}, volume = {27}, number = {1}, author = {Yao, Heming and Derksen, Harm and Golbus, Jessica R. and Zhang, Justin and Aaronson, Keith D. and Gryak, Jonathan and Najarian, Kayvan}, }