The use of neural networks as a tool for predicting congenital facial cleft and the introduction of the developed model into the educational process for students of medical universities of the Faculty of Dentistry
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Abstract
Proposed model for cleft prediction using deep neural network was considered in this article. Machine learning-based solutions create valuable decisions both for developed and developing countries with the aim for prediction the volume of highly specialized medical care for patients with facial malformations according to epidemiological situation, racial and ethnic factors, population genetic features, epigenetic factors and other significant characteristics.
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References
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