Algorithmic fairness in pandemic forecasting: lessons from COVID-19.
Thomas C. TsaiSercan Ö. ArikBenjamin H. JacobsonJinsung YoonNate YoderDario SavaMargaret MitchellGarth GrahamTomas PfisterPublished in: npj Digit. Medicine (2022)
Keyphrases
- short term
- public health
- resource allocation
- lessons learned
- medium term
- long term
- support vector regression
- real time
- weather forecasting
- forecasting accuracy
- foreign exchange
- elman neural network
- exponential smoothing
- interactive video
- autoregressive model
- exchange rate
- predictive model
- game theory
- utility function
- artificial intelligence
- information retrieval
- neural network