Algorithmic Bias in Machine Learning Based Delirium Prediction.
Sandhya TripathiBradley A. FritzMichael S. AvidanYixin ChenChristopher R. KingPublished in: CoRR (2022)
Keyphrases
- machine learning
- prediction accuracy
- inductive bias
- recursive neural networks
- information extraction
- predictive modeling
- machine learning methods
- machine learning algorithms
- prediction algorithm
- prediction error
- prediction model
- pattern recognition
- knowledge representation
- knowledge discovery
- databases
- natural language processing
- computer science
- case study
- data mining
- unsupervised learning
- trade off
- learning tasks
- inductive learning
- feature selection
- computational biology
- machine learning approaches
- predictive model
- social networks
- information retrieval
- data sets