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.
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%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
}