Dear all
I am trying to help a local hospital in Italy in predicting the number of intensive care units (ICUs) which will be required in the next few days. I know the number of admitted patients but also the number of positives (including those not admitted at hospital but quarantined at home). I first tried a linear regression of ICUs as a function of admitted patients (nr of observation n=28) (p<0.0001 and R-square=0.997) then a quadratic polynomial regression of ICUs as a function of total positives (again p<0.0001 and R-square=0.998). Similarly, I did a regression of ICUs vs day_number (1...28). Now I assume I can try to predict ICUs. I did it for the sample (n=1...28), but I do not know how to do it for the next few days (29, 30...) and for more admitted patients. Any suggestions? I attach here my data. Thanks
I am trying to help a local hospital in Italy in predicting the number of intensive care units (ICUs) which will be required in the next few days. I know the number of admitted patients but also the number of positives (including those not admitted at hospital but quarantined at home). I first tried a linear regression of ICUs as a function of admitted patients (nr of observation n=28) (p<0.0001 and R-square=0.997) then a quadratic polynomial regression of ICUs as a function of total positives (again p<0.0001 and R-square=0.998). Similarly, I did a regression of ICUs vs day_number (1...28). Now I assume I can try to predict ICUs. I did it for the sample (n=1...28), but I do not know how to do it for the next few days (29, 30...) and for more admitted patients. Any suggestions? I attach here my data. Thanks
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