Classification of Electrical Impedance Tomography Data Using Machine Learning.
Diogo PessoaBruno Moraes RochaGrigorios-Aris CheimariotisKostas HarisClaas StrodthoffEvangelos KaimakamisNicos MaglaverasInéz FrerichsPaulo de CarvalhoRui Pedro PaivaPublished in: EMBC (2021)
Keyphrases
- machine learning
- data sets
- data analysis
- synthetic data
- data distribution
- knowledge discovery
- data collection
- data processing
- data sources
- feature selection
- pattern recognition
- decision trees
- active learning
- high quality
- data structure
- training data
- database
- input data
- data mining
- supervised machine learning
- training set
- bayesian methods
- classification models
- original data
- raw data
- missing values
- machine learning methods
- learning algorithm
- high dimensional data
- statistical analysis
- image classification
- information extraction
- classification accuracy
- end users