Identifying time-resolved features of nocturnal sleep characteristics of narcolepsy using machine learning.
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| Title: | Identifying time-resolved features of nocturnal sleep characteristics of narcolepsy using machine learning. |
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| Authors: | Vilela M; Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA., Tracey B; Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA., Volfson D; Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA., Barateau L; Department of Neurology, Sleep-Wake Disorders Center, Gui-de-Chauliac Hospital, CHU, Montpellier, France.; National Reference Network for Narcolepsy, Montpellier, France.; Institute for Neurosciences of Montpellier (INM), INSERM, University of Montpellier, Montpellier, France., Cai A; Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA., Buhl DL; Takeda Development Center Americas, Inc., Cambridge, Massachusetts, USA., Dauvilliers Y; Department of Neurology, Sleep-Wake Disorders Center, Gui-de-Chauliac Hospital, CHU, Montpellier, France.; National Reference Network for Narcolepsy, Montpellier, France.; Institute for Neurosciences of Montpellier (INM), INSERM, University of Montpellier, Montpellier, France. |
| Source: | Journal of sleep research [J Sleep Res] 2024 Dec; Vol. 33 (6), pp. e14216. Date of Electronic Publication: 2024 Apr 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Published on behalf of the European Sleep Research Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 9214441 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2869 (Electronic) Linking ISSN: 09621105 NLM ISO Abbreviation: J Sleep Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1365-2869 |
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| DOI: | 10.1111/jsr.14216 |
