most citedSTREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers

3 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 3 cited

STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers

Ryan J. Urbanowicz, Harsh Bandhey, Brendan T. Keenan +19

While machine learning (ML) includes a valuable array of tools for analyzing biomedical data, significant time and expertise is required to assemble effective, rigorous, and unbias…

eess.AS2021★ 2 cited

Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings

Arun Sebastian, Peter A. Cistulli, Gary Cohen +1

In this study, the development of an automatic algorithm is presented to classify the nocturnal audio recording of an obstructive sleep apnoea (OSA) patient as OSA related snore, s…