Cross-Validation of Machine Learning Models for the Functional Outcome Prediction after Post-Stroke Robot-Assisted Rehabilitation.
Silvia CampagniniPiergiuseppe LiuzziSilvia GaleriAngelo MontesanoManuela DiverioFrancesca CecchiCatuscia FalsiniEmanuele LangoneRita MoscaMarco GermanottaMaria Chiara CarrozzaIrene AprileAndrea ManniniPublished in: EMBC (2022)
Keyphrases
- cross validation
- machine learning models
- robot assisted
- outcome prediction
- model selection
- minimally invasive
- spam filtering
- machine learning algorithms
- machine learning approaches
- variable selection
- genomic data
- machine learning
- force feedback
- image guided
- support vector
- breast cancer
- training set
- virtual reality
- learning algorithm
- ls svm
- intraoperative
- learning models
- predictive model
- image processing
- text classification
- real world