Jiang, Victoria S., Zad, Zahra, WANG, Taiyao, Paschalidis, Ioannis, and Mahalingaiah, Shruthi. PREDICTING THE DIAGNOSIS OF POLYCYSTIC OVARIAN SYNDROME (PCOS) AMONG AT RISK WOMEN WITHIN AN ELECTRONIC HEALTH RECORD. Retrieved from https://par.nsf.gov/biblio/10382179. Fertility and Sterility 118.S Web. doi:10.1016/j.fertnstert.2022.08.595.

Jiang, Victoria S., Zad, Zahra, WANG, Taiyao, Paschalidis, Ioannis, & Mahalingaiah, Shruthi. PREDICTING THE DIAGNOSIS OF POLYCYSTIC OVARIAN SYNDROME (PCOS) AMONG AT RISK WOMEN WITHIN AN ELECTRONIC HEALTH RECORD. Fertility and Sterility, 118 (S). Retrieved from https://par.nsf.gov/biblio/10382179. https://doi.org/10.1016/j.fertnstert.2022.08.595

Jiang, Victoria S., Zad, Zahra, WANG, Taiyao, Paschalidis, Ioannis, and Mahalingaiah, Shruthi. "PREDICTING THE DIAGNOSIS OF POLYCYSTIC OVARIAN SYNDROME (PCOS) AMONG AT RISK WOMEN WITHIN AN ELECTRONIC HEALTH RECORD". Fertility and Sterility 118 (S). Country unknown/Code not available. https://doi.org/10.1016/j.fertnstert.2022.08.595. https://par.nsf.gov/biblio/10382179.

@article{osti_10382179,
place = {Country unknown/Code not available}, title = {PREDICTING THE DIAGNOSIS OF POLYCYSTIC OVARIAN SYNDROME (PCOS) AMONG AT RISK WOMEN WITHIN AN ELECTRONIC HEALTH RECORD}, url = {https://par.nsf.gov/biblio/10382179}, DOI = {10.1016/j.fertnstert.2022.08.595}, abstractNote = {}, journal = {Fertility and Sterility}, volume = {118}, number = {S}, author = {Jiang, Victoria S. and Zad, Zahra and WANG, Taiyao and Paschalidis, Ioannis and Mahalingaiah, Shruthi}, }