Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results.
Geir Severin R. E. LangbergMikal StapnesJan F. NygårdMari NygårdMarkus GrasmairValeriya NaumovaPublished in: BMC Bioinform. (2022)
Keyphrases
- cervical cancer
- matrix factorization
- computer aided diagnosis
- collaborative filtering
- recommender systems
- low rank
- missing data
- nonnegative matrix factorization
- negative matrix factorization
- data matrix
- image analysis
- prediction accuracy
- computer aided
- image processing
- latent factor models
- variational bayesian
- item recommendation
- stochastic gradient descent
- data sparsity
- factor analysis
- natural images
- pairwise
- three dimensional