Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases.
Sheida MajouniJong Sung KimEllen SweeneyErin KeltieSyed Sibte Raza AbidiPublished in: MIE (2022)
Keyphrases
- machine learning
- water supply
- driving force
- breast cancer
- transmission electron microscopy
- inductive learning
- computer vision
- decision trees
- learning algorithm
- artificial intelligence
- early detection
- pattern recognition
- environmental factors
- gene selection
- learning tasks
- user profiles
- text classification
- active learning
- association rules
- learning systems
- statistical methods
- gene expression data
- feature selection
- prostate cancer
- supervised learning
- predator prey
- computer science
- bird species
- plant species
- reinforcement learning