Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models.
Daniel SmolyakSaad Mohammad AbrarNaman AwasthiVanessa Frías-MartínezPublished in: CoRR (2024)
Keyphrases
- machine learning methods
- benchmark datasets
- statistical models
- predictive power
- neural network
- predictive model
- predictive modeling
- mathematical models
- statistical methods
- machine learning algorithms
- probabilistic model
- significant improvement
- prior knowledge
- least squares
- computational cost
- hidden markov models
- preprocessing
- search engine
- data mining
- data sets