Work

Ovarify: Utilizing a Machine Learning Model and Clinical Features to Predict Polycystic Ovary Syndrome

Year: 2024

Type: article

Source: Fertility and Sterility

DOI: 10.1016/j.fertnstert.2024.07.071

Authors: Adam T. Evans, Eeshaan Rehani, Bailey Smith, Melody Damei Hong, Zoe Lewin, Karina Hiroshige, Iman Hajirasouliha, Marla E. Lujan, Kathleen Hoeger

Institutions: University of Rochester, Weill Cornell Medicine, Cornell University

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

OpenAlex ID: W4403591681

FWCI:

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