Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis.
Benedetta TafuriGiammarco MilellaMarco FilardiAlessia GiugnoStefano ZoccolellaLudovica TamburrinoValentina GnoniDaniele UrsoRoberto De BlasiSalvatore NigroGiancarlo LogroscinoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- machine learning
- amyotrophic lateral sclerosis
- machine learning methods
- pattern recognition
- model based diagnosis
- machine learning algorithms
- fault diagnosis
- knowledge acquisition
- automatic diagnosis
- computational biology
- fault detection
- knowledge discovery
- artificial intelligence
- decision trees
- learning tasks
- data mining
- machine learning approaches
- inductive learning
- feature selection
- natural language processing
- learning systems
- active learning
- natural language
- computer science
- diagnostic tests
- clinically relevant
- diagnostic reasoning
- supervised machine learning
- machine learning and data mining
- image analysis
- knowledge representation
- learning algorithm
- medical diagnosis
- high quality
- text mining
- data sets