| Literature DB >> 27236060 |
Rohit Budhiraja1, Robert Thomas2, Matthew Kim3, Susan Redline4.
Abstract
Analysis of large-volume data holds promise for improving the application of precision medicine to sleep, including improving identification of patient subgroups who may benefit from alternative therapies. Big data used within the health care system also promises to facilitate end-to-end screening, diagnosis, and management of sleep disorders; improve the recognition of differences in presentation and susceptibility to sleep apnea; and lead to improved management and outcomes. To meet the vision of personalized, precision therapeutics and diagnostics and improving the efficiency and quality of sleep medicine will require ongoing efforts, investments, and change in our current medical and research cultures.Entities:
Keywords: Big data; Management; Sleep apnea; Sleep-disordered breathing
Mesh:
Year: 2016 PMID: 27236060 PMCID: PMC4884603 DOI: 10.1016/j.jsmc.2016.01.009
Source DB: PubMed Journal: Sleep Med Clin ISSN: 1556-407X