Medical history is superior to self-reported symptoms in models predicting sleep apnea

Routinely available medical information – such as age, sex and body mass index (BMI) – are superior to self-reported symptoms for predicting obstructive sleep apnea (OSA), according to a study published in the February issue of the Journal of Clinical Sleep Medicine. According to the authors, the results raise the possibility of large-scale sleep apnea screening using data that are routinely available in the electronic health record.

Read the study in JCSM – Clinical Prediction Models for Sleep Apnea: The Importance of Medical History over Symptoms

Read the commentary in JCSM – Big-Data or Slim-Data: Predictive Analytics Will Rule with World