Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records
Author(s) -
Yue Ruan,
Alexis Bellot,
Zuzana Moysova,
Garry D. Tan,
Alistair Lumb,
Jim Davies,
Mihaela van der Schaar,
Rustam Rea
Publication year - 2020
Publication title -
diabetes care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.636
H-Index - 363
eISSN - 1935-5548
pISSN - 0149-5992
DOI - 10.2337/dc19-1743
Subject(s) - medicine , logistic regression , hypoglycemia , receiver operating characteristic , diabetes mellitus , emergency medicine , metformin , sulfonylurea , area under the curve , machine learning , pediatrics , endocrinology , computer science
We analyzed data from inpatients with diabetes admitted to a large university hospital to predict the risk of hypoglycemia through the use of machine learning algorithms.
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