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ClosedLoop Selected to Participate in AWS Healthcare Accelerator for Health Equity

ClosedLoop Selected to Participate in AWS Healthcare Accelerator for Health Equity
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Using Machine Learning in the Evolving Landscape of Real-World Data

Artificial Intelligence and neural networks, beyond your average key word reader - Rehab Realities

Renee Kinder Mother’s Day in our household always arrives with excessive amounts of artwork, clay creations and the legendary “Top 10 Reasons Why I Love My Mom” letters. The sentences are always nicely structured leading up to a key word entry from the tiny author. Mothers generally glow, cry or laugh at the adorable resulting responses. Then comes the key word responses provided by my Emmy Grace. Question #1: I love it when my mom reads me . Help me out, Em … put something cute like “Brown Bear, Brown Bear” or “I Love You Forever”. Maybe, say, Highlights Magazine? That would be believable.

Geisinger runner-up in national AI Health Outcomes Challenge

Share this article DANVILLE, Pa., May 20, 2021 /PRNewswire/  Geisinger has been named runner-up out of more than 300 entries in the Centers for Medicare & Medicaid Services (CMS) Artificial Intelligence Health Outcomes Challenge. Geisinger partnered with Medial EarlySign, a leader in machine learning-based solutions to aid in early detection and prevention of high-burden diseases, to use artificial intelligence (AI) to predict unplanned hospital admissions, readmissions occurring soon after hospital discharge, healthcare-associated complications, and mortality. The two entities collaborated to develop models that predict the risk of these outcomes using Medicare administrative claims data and created novel visualizations to explain the results in a clinician-friendly manner, a key component of AI implementation.

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