Published on in Vol 4, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15094, first published .
Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health App: Virtual Tool Functionality Assessment

Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health App: Virtual Tool Functionality Assessment

Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health App: Virtual Tool Functionality Assessment

Erika Marie Rodriguez 1, 2, MSc;  Daniel Thomas 3;  Anna Druet 3;  Marija Vlajic-Wheeler 3, PhD;  Kevin James Lane 4, PhD, MA;  Shruthi Mahalingaiah 1, 2, 5, MD, MSc

1 Department of Environmental Health, Harvard TH Chan School of Public Health , Boston, MA, US

2 Department of Obstetrics and Gynecology, Boston University School of Medicine , Boston, MA, US

3 Clue®, BioWink GmbH , Berlin , DE

4 Department of Environmental Health, Boston University School of Public Health , Boston, MA, US

5 Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Massachusetts General Hospital | Harvard Medical School, Boston, MA, US

Corresponding Author:

  • Shruthi Mahalingaiah, MD, MSc
  • Department of Environmental Health
  • Harvard TH Chan School of Public Health
  • 665 Huntington Ave
  • Building 1
  • Boston, MA
  • US
  • Phone: 1 617 432 4381
  • Email: shruthi@hsph.harvard.edu