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

GER M., KARAMETE B., BEKSAC M., AKSEL S.

FERTILITY AND STERILITY, vol.59, no.3, pp.550-553, 1993 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 59 Issue: 3
  • Publication Date: 1993
  • Doi Number: 10.1016/s0015-0282(16)55798-7
  • Journal Name: FERTILITY AND STERILITY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.550-553
  • Middle East Technical University Affiliated: No

Abstract

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).