Output details
11 - Computer Science and Informatics
University of St Andrews
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Article title
A validated model of serum anti-Müllerian hormone from conception to menopause
Type
D - Journal article
Title of journal
PLoS One
Article number
e22024
Volume number
6
Issue number
7
First page of article
-
ISSN of journal
1932-6203
Year of publication
2011
Number of additional authors
4
Additional information
<24>Anti-Mullerian Hormone (AMH) has been shown to be the best indirect indicator of human fertility, and is also important in the diagnosis of several types of clinical ovarian dysfunction. The lack of a published normative model of AMH levels throughout life made it impossible for clinicians to assess whether an individual has higher or lower AMH than expected. In this study we reported the first validated model for the healthy human population. The model was derived using advanced machine learning, text- and data-mining and knowledge discovery techniques, and has become the definitive reference for studies in reproductive endocrinology.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
C - Artificial intelligence
Citation count
54
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
