Tuesday, November 26, 2024

Healthcare Innovation: Challenge Seeks Machine Learning Models to Predict COVID-19-Related Health Outcomes in Veterans

“The U.S. veteran population has a higher prevalence than the general population of several of the known risk factors for severe COVID-19 illness, including advanced age, heart disease and diabetes. The Veterans Health Administration (VHA) Innovation Ecosystem has launched a COVID-19 Risk Factor Modeling Challenge to develop and evaluate computational models to predict COVID-19-related health outcomes in veterans.”

“The VHA noted that identifying and improving our understanding of the risk and protective factors for severe COVID-19 illness is crucial to better protect, triage, and treat at-risk individuals, and additional research is needed to better understand the impact these factors have on high-risk individuals. The VHA Innovation Ecosystem is calling upon the public to use the precisionFDA platform and synthetic veteran health records to develop machine learning and artificial intelligence models to predict health outcomes. The challenge submission period…”

“The challenge is calling upon the public to develop machine learning and AI models to predict COVID-19 related health outcomes, including COVID-19 status, length of hospitalization, and mortality, using synthetic health record data. Through this challenge, additional risk and protective factors will be investigated, including therapeutics prescribed for preexisting comorbidities, and treatment interactions…” Read the full article here.

Source: Challenge Seeks Machine Learning Models to Predict COVID-19-Related Health Outcomes in Veterans – By David Raths, June 3, 2020. Healthcare Innovation.

[related-post]

LEAVE A REPLY

Please enter your comment!
Please enter your name here

FedHealthIT Xtra – Find Out More!

Recent News

Don’t Miss A Thing

Jackie Gilbert
Jackie Gilbert
Jackie Gilbert is a Content Analyst for FedHealthIT and Author of 'Anything but COVID-19' on the Daily Take Newsletter for G2Xchange Health and FedCiv.

Subscribe to our mailing list

* indicates required