For Researchers

The FinRegistry project leverages nationwide health and socio-demographic registry data to explore comprehensive risk trajectories and uses this information to develop statistical and machine learning models to predict disease occurrences from registry data. 

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This project will use the complex relationship between health outcomes, medications, socio-demographic information, and familial risk to provide new epidemiological and biological hypotheses that can then be directly followed up with more targeted studies.​

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Results of this study can support future research to develop personalized health care based on disease-specific prediction models.