Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review - Pombo, Nuno; Garcia, Nuno; Bousson, Kouamana (Computer methods and programs in biomedicine, 2017)
Keywords: Algorithms; Classification; Diagnosis, Computer-Assisted; Humans; Internal Medicine; Machine learning; Other; Polysomnography; Sleep apnea; Sleep Apnea Syndromes - classification; Sleep Apnea Syndromes - diagnosis; Systematic review; Threshold-based classification; HI; AHI; BNN; LR; LVQ; Systematic review; Sleep apnea; AUC; PNN; MLR; Classification; Sp02; ANFIS; NARX; EMG; ML; PSG; EEG; ROC; AI; CAS; BHC; ANN; RCT; SAS; PPG; FN; LDA; FP; KNN; SVM; SRN; ECOC; VDA; LS-SVM; NPV; RDI; PPV; MSA; Threshold-based classification; EOG; OSA; ECG; HMM; RBFNN; Machine learning; AIRS; TN; TP; Sleep Apnea Syndrome; Error Correcting Output Code; Support Vector Machine; False Negative; Voice Activity Detection; Hidden Markov Model; electrooculography; Probabilistic Neural Network; Logistic Regression; Respiratory Disturbance Index; Apnea Index; Randomized Controlled Trial; Artificial Neural Network; Learning Vector Quantization; Electrocardiogram; Apnea and Hypopnea Index; Artificial Immune Recognition System; Positive Predictive Value; Hypopnea Index; Oxygen Saturation; Multi-Linear Regression; Area Under receiver operating characteristic Curve; Electroencephalogram; Radial Basis Function Neural Network; Bayesian Neural Network; Mixed Sleep Apnea; Linear Discriminant Analysis; True Positive; Electromyography; receiver operating characteristic; Binary Hierarchical Classification; Least Squares Support Vector Machine; Nonlinear AutoRegressive network with eXogenous; Negative Predictive Value; K-Nearest Neighbor; Central Sleep Apnea; Polysomnogram; True Negative