Algorithmic and Artificial Intelligence Approaches for Digital Health

Digital Health data opens opportunities for applying algorithmic and artificial intelligence techniques for the analyses of those rich and complex data. Estonia is at the forefront in collecting health data in electronic centralised databases. We propose to study those data and develop methods for better fundamental approaches how to analyse such complex data. First, we will convert data into OHDSI/OMOP formats and define improtant high-level concepts. Secondly, we develop patient group level comparison approaches for disease trajectories. Thordly, we will develop methods and tools to improve the interpretability of the complex multidimensional health data. Last but not least, we will continue with collection, analysis and international collaboration with coronavirus SARS-CoV-2 caused COVID-19 disease. We have set up a survey and tools at koroona.ut.ee and will carry on this research based on both the survey, as well as emerging virus RNA sequencing data and human genetic traits.