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Chris Fernandez
Chris Fernandez
EnsoData Research, EnsoData, Inc.
Verified email at ensodata.com - Homepage
Title
Cited by
Cited by
Year
Next: A system for real-world development, evaluation, and application of active learning
KG Jamieson, L Jain, C Fernandez, NJ Glattard, R Nowak
Advances in neural information processing systems 28, 2015
792015
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
662017
Artificial intelligence and sleep: Advancing sleep medicine
NF Watson, CR Fernandez
Sleep medicine reviews 59, 101512, 2021
242021
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
82021
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
52017
A Modeling Study on Inspired CO2 Rebreathing Device for Sleep Apnea Treatment by Means of CFD Analysis and Experiment
M Shokoueinejad, A Pazouki, J Levin, F Wang, C Fernandez, S Rusk, ...
Journal of Medical and Biological Engineering 37 (2), 288-297, 2017
42017
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
22021
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
22019
POGO: Pulse Oximetry, On the Go
C Fernandez, O Rice, R Sufi, N Glattard
Department of Biomedical Engineering, University of Wisconsin-Madison …, 2013
2*2013
Artificial Intelligence to Aid in Diagnosis of Type I Narcolepsy
Y Nygate, S Rusk, C Fernandez, Z Winzurk, E Wickwire, E Mignot, ...
Sleep 46 (Supplement_1), A252-A252, 2023
12023
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
12021
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
12021
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
12019
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
12018
Sleep Architecture Associations with Brain Age: A Multi-Site Model Validation
DH Thomas J Vanasse, Samuel Rusk, Yoav Nygate, Chris Fernandez, Jiaxiao M ...
Sleep 46 (Issue Supplement_1), Pages A40–A41, 2023
2023
Deep Learning Classification of Future PAP Adherence based on CMS and other Adherence Criteria
DH Samuel Rusk, Yoav Nygate, Chris Fernandez, Jiaxiao M Shi, Jessica ...
Sleep 46 (Issue Supplement_1), Page A206, 2023
2023
Use of Artificial Intelligence for Early Characterization of Patients with RBD/RWA
J Herdegen, J Cataline, Y Nygate, J Gu, N Witek, C Fernandez, N Watson
Sleep 46 (Supplement_1), A396-A396, 2023
2023
Deep Learning to Predict PAP Adherence in Obstructive Sleep Apnea
S Rusk, Y Nygate, C Fernandez, JM Shi, J Arguelles, MT Klimper, ...
Sleep 46 (Supplement_1), A206-A206, 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
Impact of OSA Therapy on Healthcare Economics: Actuarial Analysis of OSA Prevalence, Therapy Adherence, Co-morbidity, and Costs in a Large CMS Population Cohort
C Fernandez, S Rusk, N Glattard, F Turkington, Y Nygate, M Kaiser, ...
Sleep 45 (Supplement_1), A31-A32, 2022
2022
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