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, US

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

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

4 Department of Computer Science , University of Massachusetts Lowell, Lowell, MA, US

5 School of Medicine , Boston University, Boston, MA, US

6 Department of Medicine , University of Massachusetts Medical School, Worcester, MA, US

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
  • US
  • Phone: 1 508-856-6063
  • Email: jinying.chen@umassmed.edu