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