Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study.
Vasileios C. PezoulasThemis P. ExarchosAthanasios G. TzioufasDimitrios I. FotiadisPublished in: EMBC (2021)
Keyphrases
- clinical data
- distributed environment
- regression trees
- distributed systems
- medical data
- statistical analysis
- regression model
- neural network
- raw data
- peer to peer
- intelligent agents
- knowledge discovery
- linear models
- regression problems
- knowledge base
- database
- domain experts
- conditional random fields
- artificial intelligence
- linear regression
- linear model
- information retrieval
- real world
- learning rules
- image segmentation