Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks.
Andreas Storvik StraumanFilippo Maria BianchiKarl Øyvind MikalsenMichael KampffmeyerCristina Soguero-RuízRobert JenssenPublished in: CoRR (2017)
Keyphrases
- missing data
- recurrent neural networks
- multiple imputation
- missing values
- incomplete data
- echo state networks
- low rank
- feed forward
- structure from motion
- automatic relevance determination
- decision trees
- minimally invasive
- neural network
- recurrent networks
- matrix factorization
- artificial neural networks
- nonlinear dynamic systems
- machine learning
- imprecise data
- support vector
- reservoir computing
- imputation methods
- feature extraction
- missing information
- knn
- maximum likelihood
- statistical databases
- feedforward neural networks
- machine learning algorithms
- feature space
- training set
- recommender systems
- feature selection
- nearest neighbor
- database
- data imputation
- model selection