The University of Minnesota Medical School research team successfully developed and implemented a COVID-19 prediction model that performed well across gender, race and ethnicity for three different outcomes. A logistic regression model ML-enabled can be developed, validated, and implemented as clinical decision support across multiple hospitals while maintaining high performance in real-time validation and remaining equitable.
Clinical decision systems through ML-enabled predictive modeling may add to patient care, reduce undue decision-making variations and optimize resource utilization — especially during a pandemic.
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