Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis.
Andrew J. SedgewickKristina BuschurIvy ShiJoseph D. RamseyVineet K. RaghuDimitris V. ManatakisYingze ZhangJessica BonDivay ChandraChad KaroleskiFrank C. SciurbaPeter SpirtesClark GlymourPanayiotis V. BenosPublished in: Bioinform. (2019)
Keyphrases
- graphical models
- disease diagnosis
- probabilistic inference
- belief propagation
- bayesian networks
- belief networks
- random variables
- probabilistic model
- approximate inference
- image analysis
- conditional random fields
- conditional independence
- probabilistic graphical models
- map inference
- markov networks
- possibilistic networks
- health care
- early stage
- database
- statistical inference