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Last Updated: June 16, 2026
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IntegratedML: Predicting Readmissions
Using RaaS to predict hospital readmission rates
Reducing Readmissions with Machine Learning
Reducing Hospital Readmissions | Intel Business
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What can happen when a team of machine learning researchers collaborate with cardiologists and clinicians to take advantage of ... In this video, we will demonstrate using InterSystems IRIS for Health for notification and analytics to identify patients at high risk for ... Michael Hood, data scientist at ProKarma, demonstrates the company's advanced analytics solutions and how they can reduce ... This presentation introduces a machine learning solution to Caroline Vuong, MD, PhD, Amsterdam UMC, Amsterdam, The Netherlands, speaks on a single-center study conducted to develop ... Attend this webinar to gain knowledge of the analytics tools and methods UPH used, including innovative individualized risk ...
Dr. Caitlin R. Collins reviews finding of low correlation between surgical risk, Authors: Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad Abstract: In machine learning often ... Electronic health records (EHR) data is captured across many healthcare institutions resulting in large amounts of diverse ... Northwell Health is able to calculate the likelihood of People who experience acute kidney injuries (AKIs) in the hospital have higher rates of cardiac disease and death compared with ...
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