@article{e895cd137280495f95aed9998c7e66ca,
title = "Using machine learning to extract cognitive status from the sleep EEG in progressing stages of dementia: defining interpretable and age-related features",
author = "Korey Kam and Ankit Parekh and Sajila Wickramaratne and Varga, {Andrew W.}",
note = "Funding Information: AWV has served as a consultant for Jazz, Eisai, and Merck Pharmaceuticals in the last 3 years and receives grant support from the Merck Investigator Studies Program (MISP). AP receives grant support from Itamar Medical Ltd. All other authors declare no conflicts of interest. Funding Information: This work was funded by Alzheimer's Association grants AARGD-22-917712 (KK) and AARG-22-928739 (AWV), National Heart, Lung, and Blood Institute grants K25 HL151912 (AP) and R21 R21HL165320 (AP), and National Institute on Aging grants R01 AG056682 (AWV) and R01 AG066870 (AWV). ",
year = "2023",
month = mar,
day = "1",
doi = "10.1093/sleep/zsac324",
language = "English",
volume = "46",
journal = "Sleep",
issn = "0161-8105",
publisher = "Oxford University Press",
number = "3",
}