The Role of Big Data in the Management of Sleep-Disordered Breathing

被引：32

作者：

Budhiraja, Rohit ^{[1
,2
]}

Thomas, Robert ^{[3
]}

Kim, Matthew ^{[4
]}

Redline, Susan ^{[5
,6
]}

机构：

[1] Harvard Med Sch, Brigham & Womens Hosp, Div Sleep & Circadian Disorders, Boston, MA USA

[2] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Div Pulm & Crit Care Med, Boston, MA USA

[3] Harvard Med Sch, Beth Israel Deaconess Med Ctr, Div Pulm Crit Care & Sleep Med, Dept Med, 330 Brookline Ave, Boston, MA USA

[4] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Div Endocrinol Diabet & Hypertens, Boston, MA USA

[5] Harvard Med Sch, Brigham & Womens Hosp, Div Sleep & Circadian Disorders, 221 Longwood Ave, Boston, MA 02115 USA

[6] Harvard Med Sch, Beth Israel Deaconess Med Ctr, Div Pulm Crit Care & Sleep Med, Dept Med, 330 Brookline Ave, Boston, MA 02215 USA

来源：

SLEEP MEDICINE CLINICS | 2016年 / 11卷 / 02期

关键词：

Sleep-disordered breathing; Big data; Management; Sleep apnea;

D O I：

10.1016/j.jsmc.2016.01.009

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

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.

引用

页码：241 / +

页数：16

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