Interpreting clinical latent representations using autoencoders and probabilistic models.
David Chushig-MuzoCristina Soguero-RuízPablo de Miguel-BohoyoInmaculada Mora-JiménezPublished in: Artif. Intell. Medicine (2021)
Keyphrases
- probabilistic model
- latent variables
- deep belief networks
- graphical models
- generative model
- denoising
- bayesian networks
- bayesian inference
- expectation maximization
- conditional random fields
- clinical guidelines
- hidden variables
- clinical practice
- clinical trials
- restricted boltzmann machine
- decision support system
- medical diagnostic
- deep learning
- clinical applications
- language model
- random variables
- unsupervised learning
- patient data
- approximate inference
- markov random field
- patient records
- probabilistic modeling
- image processing
- clinical setting