Big Data in sleep apnoea: Opportunities and challenge

Publié par Jean-Louis Pépin, en 2020 - Respirology

Sleep apnoea is now regarded as a highly prevalent systemic, multimorbid, chronic disease requiring a combination of long-term home-based treatments. Optimization of personalized treatment strategies requires accurate patient phenotyping. Data to describe the broad variety of phenotypes can come from electronic health records, health insurance claims, socio-economic administrative databases, environmental monitoring, social media, etc. If used appropriately, Big Data has great potential for the benefit of health, well-being and therapeutics.

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