Machine Learning Algorithms for the Prediction of Language and Cognition Rehabilitation Outcomes of Post-stroke Patients: A Scoping Review.
Kyriakos ApostolidisChristos KokkotisSerafeim P. MoustakidisEvangelos G. KarakasisParaskevi SakellariChristina KoutraDimitrios TsiptsiosStella KaratzetzouKonstantinos VadikoliasNikolaos AggelousisPublished in: Hum. Centric Intell. Syst. (2024)
Keyphrases
- machine learning algorithms
- benchmark data sets
- machine learning
- decision trees
- prediction accuracy
- learning algorithm
- standard machine learning algorithms
- machine learning methods
- predictive accuracy
- random forests
- learning problems
- input features
- ischemic stroke
- machine learning approaches
- natural language
- machine learning systems
- spinal cord injury
- transfer learning
- learning tasks
- health information systems
- machine learning models
- cognitive models
- cognitive processes
- active learning
- training set
- multiclass classification
- general purpose
- reinforcement learning
- prediction model
- statistical machine learning
- information processing
- training data
- machine learning and data mining algorithms
- data mining
- real world