Sultan Imangaliyev uses a set of data analysis techniques, united under the umbrella term of machine learning, to gain detailed insights in the processes involved in maintaining a healthy oral ecosystem and expand our our fundamental knowledge of what oral health is. Identifying the biological interactions that underlie maintenance of oral health requires a data analysis strategy that integrates multiple heterogeneous datasets using the best possible computational methodology.
S. Imangaliyev: Multi-View Learning and Deep Learning for Heterogeneous Biological Data to Maintain Oral Health.
Prof. B.J.F. Keijser
Prof. W. Crielaard
Dr E. Levin-Tsivtsivadze
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