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Kenny Emil Aunstrup is a research assistant specializing in Health Data Science at the University of Copenhagen. His research focuses on machine learning and statistical methods, with extensive experience in working with Danish registers and electronic health record (EHR) data from Danish hospitals. He has investigated diabetes and developed predictive models for late complications in type 2 diabetes patients, utilizing these models to enhance prevention strategies and personalize treatment. Additionally, Aunstrup has applied text mining techniques to extract lifestyle factors from clinical narrative notes in Danish hospitals and has analyzed over 20 million journal articles to further extend his research capabilities. His collaborative efforts in the last five years have placed him at the forefront of health data science, enabling him to share insightful publications and projects on a country and territory level within Europe.
Focuses on clinical, social, and cognitive psychology.