Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
Elena CasiraghiDario MalchiodiGabriella TruccoMarco FrascaLuca CappellettiTommaso FontanaAlessandro Andrea EspositoEmanuele AvolaAlessandro JachettiJustin T. ReeseAlessandro RizziPeter N. RobinsonGiorgio ValentiniPublished in: IEEE Access (2020)
Keyphrases
- machine learning
- risk assessment
- prediction accuracy
- decision making
- natural disasters
- prediction model
- risk management
- prediction algorithm
- text classification
- pattern recognition
- machine learning and statistical
- quality assessment
- prediction error
- learning algorithm
- risk measures
- high risk
- information extraction
- active learning
- predictive modeling
- risk analysis
- computational biology
- emergency management
- survival analysis
- kaplan meier
- machine learning algorithms
- computer vision
- knowledge acquisition
- computational intelligence
- natural language processing
- inductive learning
- computer science
- reinforcement learning
- feature selection
- artificial neural networks
- data sets
- information retrieval
- assessment process
- risk averse
- machine learning approaches
- model selection
- machine learning methods
- learning tasks