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, United States

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

3 Clue®, BioWink GmbH, Berlin, Germany

4 Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States

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

Corresponding Author:

  • Shruthi Mahalingaiah, MD, MSc
  • Department of Environmental Health
  • Harvard TH Chan School of Public Health
  • 665 Huntington Ave
  • Building 1
  • Boston, MA, 02115
  • United States
  • Phone: 1 617 432 4381
  • Email: shruthi@hsph.harvard.edu