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Predicting Congestive Heart Failure Using AI Techniques
August 20, 2019, 1:00 pm - 2:00 pm CDT
Sunil Mallya, Principal Deep Learning Scientist, Amazon Web Services, and Marc Overhage, MD, VP Population Health Intelligence Strategy, Cerner. Predicting the onset of a serious condition could be life changing. Cerner and Amazon Web Services recently created a CNN-GRU based model, a variant of recurrent neural networks (RNN), to predict the onset of chronic disease 15 months in advance. Proactive intervention by clinicians can help mitigate the risk of developing the condition with associated high mortality, morbidity and significant costs. Join us to hear more about how this model can predict the onset of Chronic Heart Failure (CHF) months in the future with accuracy and precision.