Publications
Talk · IEEE International Conference on Application of Information and Communication Technologies · October 18, 2023
Machine learning methods and algorithms for predicting congenital heart pathologies
Sabina Rakhmetulayeva, Aigerim Bolshibayeva, Assel Mukasheva, Б.М. Укибассов, Zh.O. Zhanabekov, D. Diaz
Abstract
The aim of this study is to develop machine learning algorithms for predicting pathologies of the cardiovascular system, based on the enrichment and expansion of existing data sets. Various augmentation techniques will be compared and combined augmentation to determine the most appropriate ones for improving and complementing heart images.
Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AIcongenital heart diseasemedical image augmentationdata augmentation
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