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Innovative Intelligence for Predicting Disease Patterns

CDC recently pointed out that people of all ages with chronic disease are at high-risk from COVID-19. As per a study conducted by the CDC across 14 US states in March 2020, out of total sample of patients hospitalized with COVID-19, 89.3% were chronic patients.  

This paper suggests an innovative approach to predict chronic diseases in initial phases with high level of accuracy leveraging AI. It also showcases hands-on exposure to practical application of some ML algorithms on a public dataset to fine tune the model for improved results.

Nitin Gupta

Innovation Evangelist, Life Sciences

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