Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning.
Zoltan CzakoTeodora Surdea-BlagaGheorghe SebestyenAnca HanganDan Lucian DumitrascuLiliana DavidGiuseppe ChiarioniEdoardo SavarinoStefan Lucian PopaPublished in: Sensors (2022)
Keyphrases
- machine learning
- failure detection
- high resolution
- machine learning methods
- pattern recognition
- feature selection
- decision trees
- supervised machine learning
- text classification
- machine learning algorithms
- support vector machine
- super resolution
- classification accuracy
- supervised learning
- classification scheme
- model selection
- feature extraction
- feature space
- learning algorithm
- low resolution
- high frequency
- data mining
- machine learning approaches
- classification models
- learning tasks
- high quality
- classification method
- remote sensing
- support vector
- unsupervised learning
- feature set
- information extraction
- support vector machine svm
- image classification
- field of view
- text mining
- supervised classification
- expert systems
- probabilistic relaxation
- training set