How much information about embryo implantation potential is included in morphokinetic data? A prediction model based on artificial neural networks and principal component analysis.
By R. Milewski, A. Kuczynska, B. Stankiewicz, W. Kuczyński. 2017
43 citations recorded by the source corpus.
Subfields: Immunology, Public Health, Environmental and Occupational Health, Reproductive Medicine
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In Immunology
In Public Health, Environmental and Occupational Health
In Reproductive Medicine
Citations in the corpus
- Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization (2021, methodology): “doctors or labeled by neural networks whose output can be manually verified) but combine them in uninterpretable ways, such as using principal component analysis (PCA) pre-processing (which forces a dependence on all variables) followed by a machine learning method such as a neural network or random”