Fig. 6From: Detection of sleep disordered breathing severity using acoustic biomarker and machine learning techniquesDistribution of subject groups. Using the t-SNE algorithm, distributions of 120 subjects using a whole audio features and b discriminators (acoustic biomarker) respectively. When using the acoustic biomarker, group separability was increased and it has a direct effect on the classification performanceBack to article page