Work

Prediction of Polycystic Ovary Syndrome (pcos) Using Self-reported Characteristics From a Digital Cohort in the Unites States

Year: 2024

Type: article

Source: Fertility and Sterility

DOI: 10.1016/j.fertnstert.2024.08.113

Authors: Zifan Wang, Amber T. Wolf, Gowtham Asokan, Jukka-Pekka Onnela, Donna D. Baird, Anne Marie Z. Jukic, Allen J. Wilcox, Michelle A. Williams, Russ Hauser, Brent Coull, Shruthi Mahalingaiah

Institutions: Harvard University, National Institutes of Health, National Institute of Environmental Health Sciences

Language: English

Topic: Ovarian function and disorders

Subfield: Reproductive Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Ministerio de Ciencia, Innovación y Universidades, European Commission, Ministerio de Ciencia e Innovación, Instituto de Salud Carlos III

Award: G8751880874

OpenAlex ID: W4403592353

FWCI: 0.646

Cites:

Cited by: 2

Related to: 10