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Using Machine Learning Algorithms to Predict Patient Portal Use Among Emergency Department Patients With Diabetes Mellitus.

Yuan ZhouThomas K SwobodaZehao YeMichael BarbaroJake BlalockDanny ZhengHao Wang
Published in: Journal of clinical medicine research (2023)
It is possible to predict patient portal use outcomes when different ML algorithms are used with fair performance accuracy. However, with similar prediction accuracies, the use of feature selection techniques can improve the interpretability of the model by addressing the most relevant features.
Keyphrases
  • machine learning
  • emergency department
  • deep learning
  • case report
  • metabolic syndrome
  • weight loss
  • skeletal muscle
  • glycemic control
  • type diabetes
  • drug induced