Using an optimized generative model to infer the progression of complications in type 2 diabetes patients.
Xiaoxia WangYifei LinYun XiongSuhua ZhangYanming HeYuqing HeZhikun ZhangJoseph M. PlasekLi ZhouDavid W. BatesChunlei TangPublished in: BMC Medical Informatics Decis. Mak. (2022)
Keyphrases
- generative model
- high risk
- probabilistic model
- cardiovascular disease
- diabetic patients
- medical data
- bayesian framework
- prior knowledge
- posterior probability
- blood glucose
- diabetes mellitus
- em algorithm
- chronic disease
- latent dirichlet allocation
- disease progression
- discriminative models
- discriminative learning
- generative and discriminative models
- topic models
- semi supervised
- blood pressure
- clinical data
- expectation maximization
- medical knowledge
- prostate cancer
- risk factors
- primary care
- machine learning