%0 Conference Paper %1 conf/amia/YangAPAW22 %A Yang, Elisabeth %A Aphinyanaphongs, Yin %A Punjabi, Paawan %A Austrian, Jonathan S. %A Wiesenfeld, Batia Mishan %B AMIA %D 2022 %I AMIA %K dblp %T Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome Prediction. %U http://dblp.uni-trier.de/db/conf/amia/amia2022.html#YangAPAW22

@inproceedings{conf/amia/YangAPAW22, added-at = {2024-04-17T00:00:00.000+0200}, author = {Yang, Elisabeth and Aphinyanaphongs, Yin and Punjabi, Paawan and Austrian, Jonathan S. and Wiesenfeld, Batia Mishan}, biburl = {https://www.bibsonomy.org/bibtex/274dce6cffa50b6d9bf8e018352245507/dblp}, booktitle = {AMIA}, crossref = {conf/amia/2022}, ee = {https://knowledge.amia.org/76677-amia-1.4637602/f006-1.4642154/f006-1.4642155/7007-1.4642183/82-1.4642180}, interhash = {9bff263be96259ab798fe1a2464764cf}, intrahash = {74dce6cffa50b6d9bf8e018352245507}, keywords = {dblp}, publisher = {AMIA}, timestamp = {2024-04-22T07:39:19.000+0200}, title = {Quantitative and Qualitative Evaluation of Provider Use of a Novel Machine Learning Model for Favorable Outcome Prediction.}, url = {http://dblp.uni-trier.de/db/conf/amia/amia2022.html#YangAPAW22}, year = 2022 }