Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data.
Lijia WangY. X. Rachel WangJingyi Jessica LiXin TongPublished in: CoRR (2022)
Keyphrases
- neyman pearson
- patient data
- support vector machine
- medical doctors
- septic shock
- type ii
- clinical data
- neural network
- classification accuracy
- machine learning
- support vector
- feature extraction
- feature vectors
- image classification
- decision trees
- machine learning algorithms
- benchmark datasets
- intraoperative
- training data
- medical records
- intensive care
- feature selection
- learning algorithm