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0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity
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Zeitschriftentitel: | Sleep |
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Personen und Körperschaften: | , , , , , , , , , |
In: | Sleep, 42, 2019, Supplement_1, S. A375-A375 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Oxford University Press (OUP)
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Schlagwörter: |
author_facet |
Fernandez, Chris Rusk, Sam Glattard, Nick Piper, David Solis, Jonathan Hensen, Brock Orr, Nick Tekchandani, Jatin Shokoueinejad, Mehdi Hungerford, James Fernandez, Chris Rusk, Sam Glattard, Nick Piper, David Solis, Jonathan Hensen, Brock Orr, Nick Tekchandani, Jatin Shokoueinejad, Mehdi Hungerford, James |
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author |
Fernandez, Chris Rusk, Sam Glattard, Nick Piper, David Solis, Jonathan Hensen, Brock Orr, Nick Tekchandani, Jatin Shokoueinejad, Mehdi Hungerford, James |
spellingShingle |
Fernandez, Chris Rusk, Sam Glattard, Nick Piper, David Solis, Jonathan Hensen, Brock Orr, Nick Tekchandani, Jatin Shokoueinejad, Mehdi Hungerford, James Sleep 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity Physiology (medical) Neurology (clinical) |
author_sort |
fernandez, chris |
spelling |
Fernandez, Chris Rusk, Sam Glattard, Nick Piper, David Solis, Jonathan Hensen, Brock Orr, Nick Tekchandani, Jatin Shokoueinejad, Mehdi Hungerford, James 0161-8105 1550-9109 Oxford University Press (OUP) Physiology (medical) Neurology (clinical) http://dx.doi.org/10.1093/sleep/zsz067.930 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity Sleep |
doi_str_mv |
10.1093/sleep/zsz067.930 |
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Oxford University Press (OUP), 2019 |
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Oxford University Press (OUP), 2019 |
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Oxford University Press (OUP) |
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title |
0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_unstemmed |
0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_full |
0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_fullStr |
0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_full_unstemmed |
0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_short |
0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_sort |
0932 using novel eeg phenotypes and artificial intelligence to estimate osa severity |
topic |
Physiology (medical) Neurology (clinical) |
url |
http://dx.doi.org/10.1093/sleep/zsz067.930 |
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2019 |
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author | Fernandez, Chris, Rusk, Sam, Glattard, Nick, Piper, David, Solis, Jonathan, Hensen, Brock, Orr, Nick, Tekchandani, Jatin, Shokoueinejad, Mehdi, Hungerford, James |
author_facet | Fernandez, Chris, Rusk, Sam, Glattard, Nick, Piper, David, Solis, Jonathan, Hensen, Brock, Orr, Nick, Tekchandani, Jatin, Shokoueinejad, Mehdi, Hungerford, James, Fernandez, Chris, Rusk, Sam, Glattard, Nick, Piper, David, Solis, Jonathan, Hensen, Brock, Orr, Nick, Tekchandani, Jatin, Shokoueinejad, Mehdi, Hungerford, James |
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spelling | Fernandez, Chris Rusk, Sam Glattard, Nick Piper, David Solis, Jonathan Hensen, Brock Orr, Nick Tekchandani, Jatin Shokoueinejad, Mehdi Hungerford, James 0161-8105 1550-9109 Oxford University Press (OUP) Physiology (medical) Neurology (clinical) http://dx.doi.org/10.1093/sleep/zsz067.930 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity Sleep |
spellingShingle | Fernandez, Chris, Rusk, Sam, Glattard, Nick, Piper, David, Solis, Jonathan, Hensen, Brock, Orr, Nick, Tekchandani, Jatin, Shokoueinejad, Mehdi, Hungerford, James, Sleep, 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity, Physiology (medical), Neurology (clinical) |
title | 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_full | 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_fullStr | 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_full_unstemmed | 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_short | 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
title_sort | 0932 using novel eeg phenotypes and artificial intelligence to estimate osa severity |
title_unstemmed | 0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity |
topic | Physiology (medical), Neurology (clinical) |
url | http://dx.doi.org/10.1093/sleep/zsz067.930 |