Estimating Risk of Sepsis with AI for State-of-The-Art Clinical Decision Support

Presented by

Niki Athanasiadou MRes, PhD, Customer Data Scientist at H2O.ai

About this talk

H2O.ai brings the best practices of the world’s leading data scientists in the form of comprehensive solutions to specific problems. With the digitization of primary healthcare information almost complete, many hospitals are looking to leverage the investment and maximize the returns of this gargantuan effort that took place over the past two decades. Supporting clinicians in the diagnosis of sepsis through AI-backed clinical decision support tools makes value-based care a reality in the intensive care unit. In this webinar, you will learn about: - The cost of hospital-acquired sepsis on patient outcomes and the burden it imposes on the healthcare system - Building predictive models for Sepsis risk - Leveraging AI for clinical decision support in the intensive care unit Presenter: Niki Athanasiadou MRes, PhD Customer Data Scientist at H2O.ai

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H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.