PREDICTING THE DIAGNOSIS OF POLYCYSTIC OVARIAN SYNDROME (PCOS) AMONG AT RISK WOMEN WITHIN AN ELECTRONIC HEALTH RECORD

التفاصيل البيبلوغرافية
العنوان: PREDICTING THE DIAGNOSIS OF POLYCYSTIC OVARIAN SYNDROME (PCOS) AMONG AT RISK WOMEN WITHIN AN ELECTRONIC HEALTH RECORD
المؤلفون: Victoria S. Jiang, Zahra Zad, Taiyao WANG, Ioannis Paschalidis, Shruthi Mahalingaiah
المصدر: Fertility and Sterility. 118:e209-e210
بيانات النشر: Elsevier BV, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Reproductive Medicine, Obstetrics and Gynecology
تدمد: 0015-0282
DOI: 10.1016/j.fertnstert.2022.08.595
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6a9086556ca235d7b36e5558e0a3e63f
https://doi.org/10.1016/j.fertnstert.2022.08.595
Rights: CLOSED
رقم الانضمام: edsair.doi...........6a9086556ca235d7b36e5558e0a3e63f
قاعدة البيانات: OpenAIRE
الوصف
تدمد:00150282
DOI:10.1016/j.fertnstert.2022.08.595