Fresh tools, familiar findings: machine learning in prediction of pregnancy loss-Reference-Cited by-同舟云学术

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Fresh tools, familiar findings: machine learning in prediction of pregnancy loss

Published:2024-07 Issue:1 Volume:122 Page:78-79
ISSN:0015-0282
Container-title:Fertility and Sterility
language:en
Short-container-title:Fertility and Sterility

Author:

Petersen Jesper Friis,Løkkegaard Ellen^ORCID

Publisher

Elsevier BV

Reference5 articles.

1. Miscarriage: worldwide reform of care is needed;Lancet,2021

2. Predictive models of miscarriage on the basis of data from a preconception cohort study;Yland;Fertil Steril,2024

3. A novel approach to predicting early pregnancy outcomes dynamically in a prospective cohort using repeated ultrasound and serum biomarkers;Petersen;Reprod Sci,2023

4. Clinical use of a model to predict the viability of early intrauterine pregnancies when no embryo is visible on ultrasound;Lautmann;Hum Reprod,2011

5. Cell-free fetal DNA for genetic evaluation in Copenhagen Pregnancy Loss Study (COPL): a prospective cohort study;Schlaikjær Hartwig;Lancet,2023

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