Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.
Shishir RaoMohammad MamoueiGholamreza Salimi-KhorshidiYikuan LiRema RamakrishnanAbdelaali HassaïneDexter CanoyKazem RahimiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- causal inference
- deep learning
- electronic health records
- additive noise
- clinical data
- unsupervised learning
- abductive reasoning
- causal models
- nonmonotonic reasoning
- clinical trials
- health care
- discrete data
- rare events
- medical data
- medical records
- observational data
- machine learning
- data sets
- decision trees
- decision making
- data mining