Machine Learning From 8.2 Million Mayo Clinic COVID-19 Clinical Notes Identifies Early Symptoms
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On April 7, I reported the results of a study using a mobile app to identify which self-reported symptoms best predict a confirmable case of COVID-19, giving central importance to the loss of smell (anosmia) or the loss of taste (ageusia), with lesser importance to fever, loss of appetite, cough, diarrhea, and fatigue. The study estimated the chances that someone with anosmia or ageusia has COVID-19 are 62%. I suggested this should be the upper bound and that 16% should be the lower bound. Anosmia and aguesia were common symptoms: 59% of those who tested positive had at least one of them.
Machine Learning From 8.2 Million Mayo Clinic COVID-19 Clinical Notes Identifies Early Symptoms
Machine Learning From 8.2 Million Mayo Clinic…
Machine Learning From 8.2 Million Mayo Clinic COVID-19 Clinical Notes Identifies Early Symptoms
On April 7, I reported the results of a study using a mobile app to identify which self-reported symptoms best predict a confirmable case of COVID-19, giving central importance to the loss of smell (anosmia) or the loss of taste (ageusia), with lesser importance to fever, loss of appetite, cough, diarrhea, and fatigue. The study estimated the chances that someone with anosmia or ageusia has COVID-19 are 62%. I suggested this should be the upper bound and that 16% should be the lower bound. Anosmia and aguesia were common symptoms: 59% of those who tested positive had at least one of them.