%0 Conference Paper %1 conf/amia/LuoCKA21 %A Luo, Yuan %A Cooper, Andrew J. %A Kang, Raymond %A Ackermann, Ronald %B AMIA %D 2021 %I AMIA %K dblp %T Feasibility of using machine learning on insurance claims to identify correlates of lower extremity amputation in insured adults with type 2 diabetes who initiate treatment with sodium-glucose co-transporter 2 (SGLT-2) inhibitors. %U http://dblp.uni-trier.de/db/conf/amia/amia2021.html#LuoCKA21

@inproceedings{conf/amia/LuoCKA21, added-at = {2024-04-17T00:00:00.000+0200}, author = {Luo, Yuan and Cooper, Andrew J. and Kang, Raymond and Ackermann, Ronald}, biburl = {https://www.bibsonomy.org/bibtex/292fe20fd17e62e46194a189d5eea37e3/dblp}, booktitle = {AMIA}, crossref = {conf/amia/2021}, ee = {https://knowledge.amia.org/74229-amia-1.4622266/t004-1.4626008/t004-1.4626009/3575466-1.4626214/3577505-1.4626211}, interhash = {dc8595efe6d05676017954bf5fe997b9}, intrahash = {92fe20fd17e62e46194a189d5eea37e3}, keywords = {dblp}, publisher = {AMIA}, timestamp = {2024-04-22T07:37:56.000+0200}, title = {Feasibility of using machine learning on insurance claims to identify correlates of lower extremity amputation in insured adults with type 2 diabetes who initiate treatment with sodium-glucose co-transporter 2 (SGLT-2) inhibitors.}, url = {http://dblp.uni-trier.de/db/conf/amia/amia2021.html#LuoCKA21}, year = 2021 }