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How Machine Learning, Simulated Data, AWS, and Virtusa Brought Innovation to Diabetes Research at the IBRI
Virtusa's vLifeplatform powered by AWS and the access and optimization of simulated data stored on this platform helped the IBRI test secure and collaborative analytics capabilities to accelerate research and innovation:
Dashboards: Interactive dashboards deliver real-time, aggregated insights from profiled data, and they provide chart and self-service visualizations.
Machine learning (ML) model build: Rapid access and transformation of a feature to enable machine learning and test model accuracies across datasets is available.
Synthetic data lake: Massive amounts of data is stored and quickly accessed with the ability to support pre-built database views that can be instantly queried.
Data loading and quality control: Data files placed in the data lake are loaded into the database automatically and quality control metrics are automatically compiled.
Simulated data generator: Simulated data can be iteratively improved to match the characteristics of the real-world EHR datasets, and machine learning is used to test deep correlations (e.g. complications or clinical variables) within the "real" vs "simulated" data.
AWS Services Used
About the IBRI
The Indiana Biosciences Research Institute (IBRI) is a non-profit, independent applied research institute formed in 2013 and based in Indianapolis. The IBRI exists to bring together companies and universities to work collaboratively on interrelated health issues that are of both global significance and have a disproportionate impact on Indiana residents—diabetes, metabolic disease and poor nutrition, and related health data science and analytics. Our motto is Discovery With Purpose, reflecting our commitment to the translation of scientific discovery into improved outcomes for patients. http://indianabiosciences.org
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