Phenotyping of Cervical Cancer Risk Groups via Generalized Low-Rank Models Using Medical Questionnaires.
Florian BeckerMari NygårdJan NygårdAge K. SmildeEvrim AcarPublished in: NAIS (2022)
Keyphrases
- low rank
- matrix factorization
- convex optimization
- missing data
- cervical cancer
- rank minimization
- low rank matrix
- linear combination
- probabilistic model
- semi supervised
- matrix completion
- input data
- singular value decomposition
- small number
- computer aided diagnosis
- data analysis
- trace norm
- factorization methods
- learning algorithm
- machine learning