An artificial neural network for the prediction of assisted reproduction outcome.

Journal: Journal of assisted reproduction and genetics

PMID: 31218565

Abstract

PURPOSE: To construct and validate an efficient artificial neural network (ANN) based on parameters with statistical correlation to live birth, to be used as a comprehensive tool for the prediction of the clinical outcome for patients undergoing ART.

Authors

Paraskevi Vogiatzi

Assisted Reproduction Unit, 3rd Department of Obstetrics and Gynecology, University of Athens, Attikon Hospital, Athens, Greece.
Abraham Pouliakis

2nd Department of Pathology, National and Kapodistrian University of Athens, "Attikon" University Hospital, Athens, Greece.
Charalampos Siristatidis

Assisted Reproduction Unit, 3rd Department of Obstetrics and Gynecology, University of Athens, Attikon Hospital, Athens, Greece harrysiri@yahoo.gr.

Keywords

Adult Birth Rate Female Fertilization in Vitro Humans Infertility Live Birth Male Neural Networks, Computer Precision Medicine Pregnancy Pregnancy Outcome Pregnancy Rate Reproductive Techniques, Assisted Sperm Injections, Intracytoplasmic

External Resources

View on PubMed Access via DOI PubMed (31218565)

An artificial neural network for the prediction of assisted reproduction outcome.

Abstract

Authors

Keywords

External Resources

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