Data-Driven Automated Classification Algorithms for Acute Health Conditions: Applying PheNorm to COVID-19 Disease

https://sentinelinitiative.org/news-events/publications-presentations/data-driven-automated-classification-algorithms-acute-0 Data-Driven Automated Classification Algorithms for Acute Health Conditions: Applying PheNorm to COVID-19 Disease: This manuscript, recently published in JAMIA, describes a project led by Joshua Smith, PhD and David Carrell, PhD who co-lead the Feature Engineering Core within the Innovation Center. The paper focuses on implementing an automated phenotyping approach, PheNorm, to symptomatic COVID-19 disease to evaluate its feasibility for rapid phenotyping of acute health conditions