Published on in Vol 21, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11990, first published .
Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance

Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance

Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance

Jinying Chen   1, 2 , PhD ;   John Lalor   1, 3 , MS ;   Weisong Liu   1, 4 , PhD ;   Emily Druhl   1 , MPH ;   Edgard Granillo   1, 2 , MD ;   Varsha G Vimalananda   1, 5 , MPH, MD ;   Hong Yu   1, 3, 4, 6 , PhD, FACMI

1 Bedford Veterans Affairs Medical Center, Center for Healthcare Organization and Implementation Research, Bedford, MA, United States

2 Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States

3 College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, United States

4 Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States

5 School of Medicine, Boston University, Boston, MA, United States

6 Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States

Corresponding Author:

  • Jinying Chen, PhD
  • Department of Population and Quantitative Health Sciences
  • University of Massachusetts Medical School
  • Albert Sherman Center, 9th Floor
  • 368 Plantation Street
  • Worcester, MA, 01605
  • United States
  • Phone: 1 508-856-6063
  • Fax: 1 508-856-8993
  • Email: jinying.chen@umassmed.edu