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Endocrine related anovulation is one of the leading causes of reproductive failure. Incorporating modifications and scaling to an earlier model of the human ovarian cycle, a clinically applicable computerized system is developed relating hormonal status to ovarian state, having predictive value for ovulatory condition as well as offering insight to morphological causes of anovulation. Hormonal data of ovulatory and anovulatory patients are evaluated against established decision criteria to elucidate the causes of anovulation in nondiseased subjects.
Date of Publication: April 1984