Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset.
Carlos SáezNekane RomeroJ. Alberto ConejeroJuan M. García-GómezPublished in: J. Am. Medical Informatics Assoc. (2021)
Keyphrases
- supervised learning
- machine learning
- data sources
- learning problems
- learning algorithm
- learning tasks
- semi supervised learning
- active learning
- supervised machine learning
- natural language processing
- benchmark datasets
- pattern recognition
- software engineering
- database
- computational intelligence
- text classification
- information sources
- explanation based learning
- multiple data sources
- data analysis
- machine learning algorithms
- decision trees
- feature selection
- computer vision
- artificial intelligence