Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes.
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%0 Journal Article
%1 journals/jbi/MaSSUZC20
%A Ma, Sisi
%A Schreiner, Pamela J.
%A Seaquist, Elizabeth R.
%A Ugurbil, Mehmet
%A Zmora, Rachel
%A Chow, Lisa S.
%D 2020
%J J. Biomed. Informatics
%K dblp
%P 103379
%T Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes.
%U http://dblp.uni-trier.de/db/journals/jbi/jbi103.html#MaSSUZC20
%V 103
@article{journals/jbi/MaSSUZC20,
added-at = {2022-10-02T00:00:00.000+0200},
author = {Ma, Sisi and Schreiner, Pamela J. and Seaquist, Elizabeth R. and Ugurbil, Mehmet and Zmora, Rachel and Chow, Lisa S.},
biburl = {https://www.bibsonomy.org/bibtex/2306e44af43d1aa076663006f8678c152/dblp},
ee = {https://www.wikidata.org/entity/Q89452602},
interhash = {5e1c41b5011c9d9eee82b7e0d0f31323},
intrahash = {306e44af43d1aa076663006f8678c152},
journal = {J. Biomed. Informatics},
keywords = {dblp},
pages = 103379,
timestamp = {2024-04-09T05:06:35.000+0200},
title = {Multiple predictively equivalent risk models for handling missing data at time of prediction: With an application in severe hypoglycemia risk prediction for type 2 diabetes.},
url = {http://dblp.uni-trier.de/db/journals/jbi/jbi103.html#MaSSUZC20},
volume = 103,
year = 2020
}
