Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure.
Ayse S. CakmakSamuel DensenGabriel NajarroPratik RoutChristopher J. RozellOmer T. InanAmit J. ShahGari D. CliffordPublished in: CoRR (2021)
Keyphrases
- social interaction
- machine learning models
- heart failure
- late fusion
- spam filtering
- health care
- social networks
- machine learning algorithms
- image sequences
- machine learning approaches
- normal subjects
- visual features
- concept detection
- cross media
- social media
- machine learning
- learning models
- data mining
- video indexing
- image retrieval
- predictive model
- heart disease
- high resolution
- computer vision
- databases
- semi supervised learning
- chronic disease
- moving objects
- natural language