Early Detection of Sepsis Using Feature Selection, Feature Extraction, and Neural Network Classification.
Erik H. GilbertsonKhristian M. JonesAbigail M. StrohBradley M. WhitakerPublished in: CinC (2019)
Keyphrases
- feature extraction
- feature selection
- early detection
- neural network
- feature space
- pattern recognition
- classification accuracy
- feature set
- pattern classification
- feature vectors
- text classification
- dimension reduction
- high dimensionality
- learning vector quantization
- text categorization
- support vector
- classification models
- extracted features
- support vector machine svm
- ovarian cancer
- support vector machine
- image processing
- machine learning
- breast cancer
- automatic diagnosis
- skin cancer
- pigmented skin lesions
- feature subset
- feature ranking
- decision trees
- gastric cancer
- feature level fusion
- feature selection algorithms
- dimensionality reduction
- training set
- face recognition
- lung cancer
- network security
- gabor filters
- machine learning algorithms
- diabetic retinopathy
- naive bayes
- knn
- pairwise
- malignant melanoma