A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.

ABSTRACT:

Study objectives

This study evaluated a novel artificial neural network (ANN) based sleep-disordered breathing (SDB) screening tool incorporating nocturnal pulse oximetry with demographic, anatomic, and clinical data. The tool was compatible with 6 categories of apnea-hypopnea index (AHI) with 4% oxyhemoglobin desaturation threshold, ≥ 5, 10, 15, 20, 25, and 30 events/h.

Methods

Using a general population dataset, the training set included 2,280 subjects, whereas the test set included 470 subjects. The input of this tool was a set of 22 variables. The tool had six neural network models for each AHI threshold. Several metrics were explored to evaluate the performance of the tool: area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive

SUBMITTER: Li A 

PROVIDER: S-EPMC5991950 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature