COMPUTER-ASSISTED OBSERVATIONS OF THE NORMAL MENSTRUAL-CYCLE - PREDICTING THE DAY OF OVULATION

1993-03-01
GER, M
KARAMETE, BK
BEKSAC, MS
AKSEL, S
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Objective: To develop a probabilistic computer model to predict the preovulatory days of the menstrual cycle by given hormonal parameters such as follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), and progesterone (P).
Obstetrics and Gynaecology, Reproductive Medicine
https://hdl.handle.net/11511/67396
FERTILITY AND STERILITY
Department of Engineering Sciences, Article

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Citation Formats
M. GER, B. KARAMETE, M. BEKSAC, and S. AKSEL, “COMPUTER-ASSISTED OBSERVATIONS OF THE NORMAL MENSTRUAL-CYCLE - PREDICTING THE DAY OF OVULATION,” FERTILITY AND STERILITY, pp. 550–553, 1993, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67396.
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