According to an article in the Journal of the American Medical Association (JAMA), two Harvard economists estimate the cumulative financial costs of the COVID-19 [read more…]
Although COVID-19 hospitalizations and death rates have dominated the media, another challenge has quietly emerged during the pandemic. Some COVID patients are reporting a wide variety of debilitating symptoms, often lasting months after being diagnosed. [read more…]
New members bring cross-industry insights to the company
Nashville, Tenn. – Nov. 11, 2020 – Chase Spurlock, PhD, founder and CEO of Decode Health, announced the addition of two members to the company’s Strategic Advisory Board. New [read more…]
One-year-old technology startup Decode Health has developed a predictive artificial intelligence platform that identifies emerging trends in the COVID-19 outbreak, providing governments and other organizations early insights to where resources need to be allocated to provide targeted outreach among high-risk populations.
Board members advise on applications of the company’s AI solution and strategic partnerships
As featured on www.timesfreepress.com, read the full article here.
A data analysis firm in Nashville is warning that Hamilton County is especially vulnerable to COVID-19 due to its demographics and other social, [read more…]
A Nashville-based AI healthcare company predicts a second wave of COVID-19 infections is most-likely in counties near major Tennessee cities. Decode Health creates software for healthcare companies aimed at identifying diseases and creating data analytics. The company has released a map of counties in the state showing where they believe people are most at-risk of being hospitalized and/or dying from COVID-19.
Blue Health Intelligence and Decode Health Team Up to Validate the Accuracy of Predictive Models for Chronic DiseaseDecodeHealth2021-09-02T06:54:12-06:00
CHICAGO (March 10, 2020) – Blue Health Intelligence® (BHI®) and Decode Health are showing how a machine learning (ML) engine can be applied to large data sets to more accurately forecast which patients [read more…]