National trends in the utilization of short-term mechanical circulatory support: incidence, outcomes, and cost analysis R Stretch, CM Sauer, DD Yuh, P Bonde Journal of the American College of Cardiology 64 (14), 1407-1415, 2014 | 470 | 2014 |
Obesity and smoking as risk factors for invasive mechanical ventilation in COVID-19: A retrospective, observational cohort study AC Monteiro, R Suri, IO Emeruwa, RJ Stretch, RY Cortes-Lopez, ... PloS one 15 (12), e0238552, 2020 | 75 | 2020 |
Effect of boarding on mortality in ICUs R Stretch, N Della Penna, LA Celi, BE Landon Critical care medicine 46 (4), 525-531, 2018 | 24 | 2018 |
Predicting nondiagnostic home sleep apnea tests using machine learning R Stretch, A Ryden, CH Fung, J Martires, S Liu, V Balasubramanian, ... Journal of Clinical Sleep Medicine 15 (11), 1599-1608, 2019 | 20 | 2019 |
Successful use of extracorporeal membrane oxygenation for respiratory failure in pulmonary chronic graft-versus-host disease R Stretch, P Bonde ASAIO journal 60 (1), 122-123, 2014 | 12 | 2014 |
Datathons and Software to Promote Reproducible Research LA Celi, S Lokhandwala, R Montgomery, C Moses, T Naumann, T Pollard, ... Journal of Medical Internet Research 18 (8), 2016 | 7 | 2016 |
Obesity and Smoking as Risk Factors for Invasive Mechanical Ventilation in COVID-19 Respiratory Failure: a Retrospective, Observational Cohort Study AC Monteiro, R Suri, IO Emeruwa, RJ Stretch, RY Cortes-Lopez, ... MedRxiv, 2020 | 2 | 2020 |
0465 Performance of revised machine learning models for prediction of non-diagnostic home sleep apnea tests R Stretch, A Maller, D Hwang, A Ryden, C Fung, M Zeidler Sleep 42 (Supplement_1), A187-A187, 2019 | 2 | 2019 |
Instrumental Variable Analysis of Electronic Health Records MITC Data, ND Penna, JP Stevens, R Stretch Secondary Analysis of Electronic Health Records, 285-294, 2016 | 2 | 2016 |
Neural Network Improves Upon Prior Models for Predicting Non-Diagnostic Home Sleep Apnea Tests RJ Stretch, CH Fung, AM Ryden, D Hwang, JL Martin, MR Zeidler C109. SRN: Innovative Ways to Assess SDB and Predict Outcomes to Current …, 2020 | 1 | 2020 |
Sleepdb: a clinical and administrative database developed to improve the diagnosis, management and longitudinal tracking of sleep disorders RJ Stretch, K Chavez, K Christensen, J Convis, CH Fung, AM Ryden, ... A34. Screening, Diagnosis, and Treatment in Sleep Disorders, A1389-A1389, 2019 | 1 | 2019 |
0464 Outcomes of Home Sleep Apnea Testing Stratified by Specialization of the Referring Physician HZ Al-Sharif, D Culpepper, R Stretch, R Aysola, M Zeidler Sleep 42 (Supplement_1), A186-A187, 2019 | 1 | 2019 |
Shock from the Storm: A case of contrast-induced thyroid storm and cardiogenic shock K Schwab, R Stretch, M Zeidler Chest 154 (4), 299A, 2018 | 1 | 2018 |
0464 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 |
810 How much does it really cost? Barriers, Bottlenecks and Billing in Sleep Diagnostics N Jambulingam, R Stretch, D Butz, M Zeidler Sleep 44, A316, 2021 | | 2021 |
0452 Morlet Wavelet Transforms and Neural Networks in Polysomnography Analysis R Stretch, M Zeidler Sleep 43 (Supplement_1), A173-A174, 2020 | | 2020 |
1163 Nickel, Dime or Dollar: Breaking Down Broken Notions of Cost in Sleep Diagnostics N Jambulingam, R Stretch, D Butz, M Zeidler Sleep 43, A444, 2020 | | 2020 |
Use of Machine Learning to Predict Non-Diagnostic Home Sleep Apnea Tests RJ Stretch, CH Fung, AM Ryden, MR Zeidler D36. INNOVATIONS IN RESEARCH METHODS AND EVIDENCE SYNTHESIS, A6223-A6223, 2019 | | 2019 |
Boarding Rather Than Boring, How Do We Best Juggle Our ICU Outliers? Reply R Stretch, N Della Penna, LA Celi, BE Landon CRITICAL CARE MEDICINE 46 (10), E1020-E1021, 2018 | | 2018 |
Comparison of Imputation Methods to Predict Baseline Serum Creatinine M Bonvini, A Kaufman, D Ramazzotti, LA Celi, R Stretch Critical Care Medicine 44 (12), 398, 2016 | | 2016 |