| Sleep apnea: a review of diagnostic sensors, algorithms, and therapies M Shokoueinejad, C Fernandez, E Carroll, F Wang, J Levin, S Rusk, ... Physiological measurement 38 (9), R204, 2017 | 67 | 2017 |
| 543 EEG-based deep neural network model for brain age prediction and its association with patient health conditions Y Nygate, S Rusk, C Fernandez, N Glattard, J Arguelles, J Shi, D Hwang, ... Sleep 44 (Supplement_2), A214-A214, 2021 | 8 | 2021 |
| 0067 COMPUTATIONAL PHENOTYPING IN POLYSOMNOGRAPHY: USING INTERPRETABLE PHYSIOLOGY-BASED MACHINE LEARNING MODELS TO PREDICT HEALTH OUTCOMES C Fernandez, S Rusk, N Glattard, M Shokoueinejad Journal of Sleep and Sleep Disorders Research 40 (suppl_1), A26-A26, 2017 | 5 | 2017 |
| 423 evaluation of electronic medical record artificial intelligence screening tools for undiagnosed OSA S Rusk, Y Nygate, F Turkington, C Fernandez, N Glattard, N Watson Sleep 44, A167-A168, 2021 | 2 | 2021 |
| 406 Clinical Validation of AI Scoring in Adult and Pediatric Clinical PSG Samples Compared to Prospective, Double-Blind Scoring Panel C Fernandez, S Rusk, N Glattard, Y Nygate, F Turkington, N Watson Sleep 44 (Supplement_2), A161-A161, 2021 | 2 | 2021 |
| 0932 Using novel EEG phenotypes and artificial intelligence to estimate OSA severity C Fernandez, S Rusk, N Glattard, D Piper, J Solis, B Hensen, N Orr, ... Sleep 42 (Supplement_1), A375-A375, 2019 | 2 | 2019 |
| Association of hypoglossal nerve stimulator response with machine learning identified negative effort dependence patterns B Lou, S Rusk, YN Nygate, L Quintero, O Ishikawa, M Shikowitz, ... Sleep and Breathing 27 (2), 519-525, 2023 | 1 | 2023 |
| 409 Dynamic Phenotype Learning: A Novel Machine Learning Approach To Develop And Discover New OSA Sub-Types C Fernandez, S Rusk, Y Nygate, N Glattard, J Arguelles, J Shi, D Hwang Sleep 44 (Supplement_2), A162-A163, 2021 | 1 | 2021 |
| 462 Redefining Positive Airway Pressure Adherence Phenotypes Utilizing Deep Neural Networks and Unsupervised Clustering Y Nygate, S Rusk, C Fernandez, N Glattard, N Watson, W Hevener, ... Sleep 44 (Supplement_2), A182-A182, 2021 | 1 | 2021 |
| 0636 Using AI To Predict Future CPAP Adherence and the Impact of Behavioral and Technical Interventions W Hevener, B Beine, J Woodruff, D Munafo, C Fernandez, S Rusk, ... Sleep 43 (Supplement_1), A243-A243, 2020 | 1 | 2020 |
| 0543 Computational Phenotyping In CPAP Therapy: Using Interpretable Physiology-Based Machine Learning Models To Predict Therapeutic CPAP Pressures D Munafo, B Hevener, W Hevener, S Clark, J Goe, C Fernandez, S Rusk, ... Sleep 42 (Supplement_1), A217-A217, 2019 | 1 | 2019 |
| 0320 A Cross-Validation Approach to Inter-scorer Reliability Assessment C Fernandez, S Rusk, N Glattard, B Hensen, M Shokoueinejad, S Creado, ... Sleep 41 (suppl_1), A122-A123, 2018 | 1 | 2018 |
| 0247 Impact of Area Socioeconomic Deprivation and Demographic Variables on Machine Learning Models for OSA Treatment M Greider, C Fernandez, S Rusk, Y Nygate, D Richardson, B Hutchinson, ... Sleep 47 (Supplement_1), A107-A107, 2024 | | 2024 |
| 0246 Testing for Obstructive Sleep Apnea by Area Socioeconomic Deprivation in Six Million Adults M Greider, C Fernandez, S Rusk, Y Nygate, D Richardson, B Hutchinson, ... Sleep 47 (Supplement_1), A106-A107, 2024 | | 2024 |
| 0710 REM Behavior Disorder Explainability in EEG via Spectral Band Cluster Prevalence S Rusk, C Fernandez, Y Nygate, T Vanasse, B Van Veen, E Wickwire, ... Sleep 47 (Supplement_1), A303-A304, 2024 | | 2024 |
| 0668 Narcolepsy Disorders Explainability in EEG via Spectral Band Cluster Prevalence C Fernandez, S Rusk, Y Nygate, T Vanasse, M Sprague, J Wodnicki, ... Sleep 47 (Supplement_1), A285-A286, 2024 | | 2024 |
| 0499 Relationship Between RDW and Disease Burden in Obstructive Sleep Apnea S Abraham, M Basist, S Duenas, V Dong, S Rusk, Y Nygate, L Quintero, ... Sleep 47 (Supplement_1), A214-A215, 2024 | | 2024 |
| Strengths, weaknesses, opportunities and threats of using AI-enabled technology in sleep medicine: a commentary A Bandyopadhyay, M Oks, H Sun, B Prasad, S Rusk, F Jefferson, ... Journal of Clinical Sleep Medicine, jcsm. 11132, 2024 | | 2024 |
| How will artificial intelligence advance sleep medicine? NF Watson, C Goldstein, S Rusk, C Fernandez Academic Press, 2023 | | 2023 |
| POLYSOMNOGRAPHY FOLLOWING AN INDETERMINATE HSAT: LOW COMPLIANCE WITH AASM GUIDELINES Y Nygate, S Rusk, F Turkington, C Fernandez, N Glattard, M Sprague, ... SLEEP 45, A166-A166, 2022 | | 2022 |
Chris FernandezEnsoData Research, EnsoData, Inc.Verified email at ensodata.com
Chris FernandezEnsoData Research, EnsoData, Inc.Verified email at ensodata.com