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EHR: Valuable Predictor of Those Likeliest to Die from COVID by Colleen Fleiss on  February 6, 2021 at 3:37 AM Artificial intelligence (AI) identifies factors such as age, history of pneumonia, gender, race and comorbidities like diabetes and cancer as predictors of poor outcomes in COVID-19 patients, said Massachusetts General Hospital (MGH) researchers. The findings of the study are published in npj Digital Medicine. By combining computational methods and clinical expertise, we developed a set of models to forecast the most severe COVID-19 outcomes based on past medical records, and to help understand the differences in risk factors across age groups, says co-lead author Hossein Estiri, PhD, an investigator in the Laboratory of Computer Science at MGH and an assistant professor of Medicine at Harvard Medical School (HMS).

United statesHossein estiriMedicine at harvard medical schoolLaboratory of computer scienceMassachusetts general hospitalComputer scienceHarvard medical schoolஒன்றுபட்டது மாநிலங்களில்மருந்து இல் ஹார்வர்ட் மருத்துவ பள்ளிஆய்வகம் ஆஃப் கணினி அறிவியல்மாசசூசெட்ஸ் ஜநரல் மருத்துவமனைகணினி அறிவியல்ஹார்வர்ட் மருத்துவ பள்ளி