Model-based and Unsupervised Machine-learning Approaches for the Characterization of Responder Profiles for Cardiac Resynchronization Therapy.
Marion TaconnéVirginie Le RolleAlban GallardKimi P. OwashiAdrien Al WazzanElena GalliJens-Uwe VoigtJürgen DuchenneOtto SmisethErwan DonalAlfredo I. HernándezPublished in: CinC (2022)
Keyphrases
- machine learning approaches
- myocardial infarction
- machine learning methods
- machine learning
- fully unsupervised
- data driven
- semi supervised
- machine learning algorithms
- patient specific
- machine learning models
- unsupervised learning
- supervised learning
- data mining methods
- user profiles
- question classification
- therapy planning
- magnetic resonance images
- left ventricle
- clinical trials
- unsupervised manner