Predicting the hotspots of age-adjusted mortality rates of lower respiratory infection across the continental United States: Integration of GIS, spatial statistics and machine learning algorithms.
Abolfazl MollaloBehrooz VahediShreejana BhattaraiLaura C. HopkinsSwagata BanikBehzad VahediPublished in: Int. J. Medical Informatics (2020)
Keyphrases
- united states
- machine learning algorithms
- spatial statistics
- census data
- benchmark data sets
- learning algorithm
- machine learning methods
- machine learning
- geographic information systems
- decision trees
- risk factors
- learning problems
- standard machine learning algorithms
- learning tasks
- united kingdom
- air force
- natural scenes
- census bureau
- training data
- motion compensation
- learning models
- south korea
- data sets
- spatial databases
- transfer learning
- active learning
- optical flow
- data mining