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Colin is Ursa Health's vice president of advanced analytics, which covers any method used to discover information in the data, such as visualizations, statistical models, and machine learning algorithms. Ursa Studio has several built-in applications to facilitate this discovery process, and part of Colin’s job is to help create and maintain these tools. Before joining Ursa, Colin worked in the energy industry as a data scientist. He holds a bachelor’s degree in economics from Reed College, where he was Phi Beta Kappa, and a Ph.D. in cognitive science from the University of Washington, where he wrote his dissertation on models of human causal learning.
Artificial intelligence has been touted as a healthcare analytics cure-all that will impose order on massive data streams, extract essential insights, and generate predictions with pinpoint accuracy....
NASHVILLE, Tenn., June 16, 2022 — Ursa Health’s analytics development platform, Ursa Studio, enabled an analysis of healthcare inequities in utilization and spending published on June 2 in NEJM...
For years, we’ve been reading headlines touting the power of artificial intelligence and machine learning algorithms, such as deep learning, to transform big data into actionable insights. Sounds...
Healthcare organizations increasingly rely on algorithms to guide decisions regarding patient care. If bias exists in the algorithms, organizations run the risk of treating patients unfairly....
The first step and arguably greatest challenge in healthcare data analysis is transforming incalculable quantities of messy raw data into an asset capable of producing measures that are timely,...
The field of machine learning (ML), a subset of artificial intelligence in which computer algorithms use statistics to find patterns in data that can predict future outcomes, is undergoing rapid...
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