Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning.

Abstract

Authors

• Ipek Ensari
  Columbia University Data Science Institute, New York, NY, 10025, USA. Electronic address: ie2145@columbia.edu.
• Billy A Caceres
  Columbia University Data Science Institute, New York, NY, 10025, USA; Columbia University School of Nursing, New York, NY, 10032, USA.
• Kasey B Jackman
  Columbia University School of Nursing, New York, NY, 10032, USA; New York-Presbyterian Hospital, New York, 10032, USA.
• Niurka Suero-Tejeda
  Columbia University School of Nursing, New York, NY, 10032, USA.
• Ari Shechter
  Columbia University Irving Medical Center, New York, NY, 10032, USA.
• Michelle L Odlum
  Columbia University School of Nursing, New York, NY, 10032, USA.
• Suzanne Bakken
  Columbia University, School of Nursing, New York, NY, USA; Columbia University, Department of Biomedical Informatics, New York, NY, USA; Columbia University, Data Science Institute, New York, NY, USA. Electronic address: sbh22@cumc.columbia.edu.

Keywords

External Resources