Understanding Ovarian Cancer Symptoms from Patients' Perspective: A Topic Modeling Approach.
Young Ji LeeAlbert ParkHeidi DonovanMary RobergePublished in: AMIA (2017)
Keyphrases
- topic modeling
- ovarian cancer
- topic models
- latent dirichlet allocation
- text mining
- text classification
- early detection
- probabilistic model
- mass spectra
- collaborative filtering
- generative model
- biologically meaningful
- cancer diagnosis
- gene selection
- latent variables
- databases
- prior knowledge
- high dimensional
- bayesian networks
- decision trees
- information retrieval