Search Results - Glattard, Nick

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  1. 1
    0370 Polysomnography following an indeterminate HSAT: Low Compliance with AASM Guidelines

    0370 Polysomnography following an indeterminate HSAT: Low Compliance with AASM Guidelines by Nygate, Yoav, Rusk, Sam, Turkington, Fred, Fernandez, Chris, Glattard, Nick, Sprague, Matt, Winzurk, Zac, Watson, Nathaniel

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  2. 2
    0668 Narcolepsy Disorders Explainability in EEG via Spectral Band Cluster Prevalence

    0668 Narcolepsy Disorders Explainability in EEG via Spectral Band Cluster Prevalence by Fernandez, Chris, Rusk, Sam, Nygate, Yoav, Vanasse, Tom, Sprague, Matt, Wodnicki, Jan, Glattard, Nick, Wickwire, Emerson, Watson, Nathaniel, Van Veen, Barry

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  3. 3
    462 Redefining Positive Airway Pressure Adherence Phenotypes Utilizing Deep Neural Networks and Unsupervised Clustering

    462 Redefining Positive Airway Pressure Adherence Phenotypes Utilizing Deep Neural Networks and Unsupervised Clustering by Nygate, Yoav, Rusk, Sam, Fernandez, Chris, Glattard, Nick, Watson, Nathaniel, Hevener, William, Beine, Bretton, Munafo, Dominic

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  4. 4
    543 EEG-Based Deep Neural Network Model for Brain Age Prediction and Its Association with Patient Health Conditions

    543 EEG-Based Deep Neural Network Model for Brain Age Prediction and Its Association with Patient Health Conditions by Nygate, Yoav, Rusk, Sam, Fernandez, Chris, Glattard, Nick, Arguelles, Jessica, Shi, Jiaxiao, Hwang, Dennis, Watson, Nathaniel

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  5. 5
    409 Dynamic Phenotype Learning: A Novel Machine Learning Approach To Develop And Discover New OSA Sub-Types

    409 Dynamic Phenotype Learning: A Novel Machine Learning Approach To Develop And Discover New OSA Sub-Types by Fernandez, Chris, Rusk, Sam, Nygate, Yoav, Glattard, Nick, Arguelles, Jessica, Shi, Jiaxiao, Hwang, Dennis

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  6. 6
    406 Clinical Validation of AI Scoring in Adult and Pediatric Clinical PSG Samples Compared to Prospective, Double-Blind Scoring Panel

    406 Clinical Validation of AI Scoring in Adult and Pediatric Clinical PSG Samples Compared to Prospective, Double-Blind Scoring Panel by Fernandez, Chris, Rusk, Sam, Glattard, Nick, Nygate, Yoav, Turkington, Fred, Watson, Nathaniel

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  7. 7
    423 Evaluation of Electronic Medical Record Artificial Intelligence Screening Tools for Undiagnosed OSA

    423 Evaluation of Electronic Medical Record Artificial Intelligence Screening Tools for Undiagnosed OSA by Rusk, Sam, Nygate, Yoav, Turkington, Fred, Fernandez, Chris, Glattard, Nick, Watson, Nathaniel

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  8. 8
    0068 Impact of OSA Therapy on Healthcare Economics: Actuarial Analysis of OSA Prevalence, Therapy Adherence, Co-morbidity, and Costs in a Large CMS Population Cohort

    0068 Impact of OSA Therapy on Healthcare Economics: Actuarial Analysis of OSA Prevalence, Therapy Adherence, Co-morbidity, and Costs in a Large CMS Population Cohort by Fernandez, Chris, Rusk, Sam, Glattard, Nick, Turkington, Fred, Nygate, Yoav, Kaiser, Mark, McClurg, Jen, Richard, Maggie, Duncan, Ian, Watson, Nathaniel

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  9. 9
    0722 Evaluation of Healthcare Insurance Claims Record based Artificial Intelligence Screening Tools for Undiagnosed Sleep Apnea

    0722 Evaluation of Healthcare Insurance Claims Record based Artificial Intelligence Screening Tools for Undiagnosed Sleep Apnea by Rusk, Sam, Turkington, Fred, Fernandez, Chris, Nygate, Yoav, Glattard, Nick, Abrahamian, Melania, Vanasse, Tom, Richardson, Dana, Bartholow, Tim, Watson, Nathaniel

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  10. 10
    Sleep apnea: a review of diagnostic sensors, algorithms, and therapies

    Sleep apnea: a review of diagnostic sensors, algorithms, and therapies by Shokoueinejad, Mehdi, Fernandez, Chris, Carroll, Emily, Wang, Fa, Levin, Jake, Rusk, Sam, Glattard, Nick, Mulchrone, Ashley, Zhang, Xuan, Xie, Ailiang, Teodorescu, Mihaela, Dempsey, Jerome, Webster, John

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  11. 11
    0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity

    0932 Using Novel EEG Phenotypes and Artificial Intelligence to Estimate OSA Severity by Fernandez, Chris, Rusk, Sam, Glattard, Nick, Piper, David, Solis, Jonathan, Hensen, Brock, Orr, Nick, Tekchandani, Jatin, Shokoueinejad, Mehdi, Hungerford, James

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  12. 12
    0543 Computational Phenotyping In CPAP Therapy: Using Interpretable Physiology-Based Machine Learning Models To Predict Therapeutic CPAP Pressures

    0543 Computational Phenotyping In CPAP Therapy: Using Interpretable Physiology-Based Machine Learning Models To Predict Therapeutic CPAP Pressures by Munafo, Dominic, Hevener, Bretton, Hevener, William, Clark, Sam, Goe, Jeff, Fernandez, Chris, Rusk, Sam, Glattard, Nick, Piper, David, Solis, Jonathan, Hensen, Brock, Orr, Nick, Shokoueinejad, Mehdi

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