AIMLab - OxyDOSA App

Background

The OxyDOSA model was developed by Behar, Palmius and colleagues [1] for the purpose of obstructive sleep apnea (OSA) screening from a minimal set of oxygen saturation and demographic features. An implementation of the machine learning model trained on a representative population sample of 887 individuals is provided bellow.

The information on this page is for general informational purposes only and is not medical advice or a substitute for professional medical advice. For full terms and conditions of use, please see here.

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Scoring guidelines used to assess patient

ODI Events/Hr

T90 %

MSpO2 %

SpO2 Nadir %

High blood pressure

Gender

Snoring level

Frequency of daytime fatigue

How often apneas have been observed

BMI kg/m2

Age

Neck circumference cm

[1] Joachim A. Behar*, Niclas Palmius*, Qiao Li, Silverio Garbuio, Fabìola P. G Rizzatti, Lia Bittencourt, Sergio Tufik#, Gari D. Clifford#. Feasibility of single channel oximetry monitoring for obstructive sleep apnea screening. Under review in EClinicalMedicine. * Equal contribution. # Equal senior authorship.

Acknowledgement: The online applet of the OxyDOSA model was developped by Ronen Barski.