We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...
shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
This is Part 7 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. PROVIDENCE, R.I. — In a cavernous converted chapel at ...
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