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Robert Stretch
Robert Stretch
Division of Pulmonary, Critical Care & Sleep Medicine, BIDMC
Verified email at bidmc.harvard.edu
Title
Cited by
Cited by
Year
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
4692014
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
752020
Effect of boarding on mortality in ICUs
R Stretch, N Della Penna, LA Celi, BE Landon
Critical care medicine 46 (4), 525-531, 2018
242018
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
192019
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
122014
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
72016
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
22020
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
22019
Instrumental Variable Analysis of Electronic Health Records
MITC Data, ND Penna, JP Stevens, R Stretch
Secondary Analysis of Electronic Health Records, 285-294, 2016
22016
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
12020
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
12019
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
12019
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
12018
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
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