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27 results on '"Burgess, Richard E"'

3. Predicting Functional Outcome Using 24‐Hour Post‐Treatment Characteristics: Application of Machine Learning Algorithms in the STRATIS Registry.

Author

Castonguay, Alicia C., Zoghi, Zeinab, Zaidat, Osama O., Burgess, Richard E., Zaidi, Syed F., Mueller‐Kronast, Nils, Liebeskind, David S., and Jumaa, Mouhammad A.

Subjects
MACHINE learning, ISCHEMIC stroke, FUNCTIONAL status, SUPPORT vector machines, REGRESSION trees, THROMBOLYTIC therapy
Abstract

Summary for Social Media: @AliciaCastongu2, @FazalZaidi9, @oozaidat, @Mouhammad_Jumaa Objective: Machine learning (ML) algorithms have emerged as powerful predictive tools in the field stroke. Here, we examine the predictive accuracy of ML models for predicting functional outcomes using 24‐hour post‐treatment characteristics in the Systematic Evaluation of Patients Treated With Neurothrombectomy Devices for Acute Ischemic Stroke (STRATIS) Registry. Methods: ML models, adaptive boost, random forest (RF), classification and regression trees (CART), C5.0 decision tree (C5.0), support vector machine (SVM), least absolute shrinkage and selection operator (LASSO), and logistic regression (LR), and traditional LR models were used to predict 90‐day functional outcome (modified Rankin Scale score 0–2). Twenty‐four‐hour National Institutes of Health Stroke Scale (NIHSS) was examined as a continuous or dichotomous variable in all models. Model accuracy was assessed using the area under characteristic curve (AUC). Results: The 24‐hour NIHSS score was a top‐predictor of functional outcome in all models. ML models using the continuous 24‐hour NIHSS scored showed moderate‐to‐good predictive performance (range mean AUC: 0.76–0.92); however, RF (AUC: 0.92 ± 0.028) outperformed all ML models, except LASSO (AUC: 0.89 ± 0.023, p = 0.0958). Importantly, RF demonstrated a significantly higher predictive value than LR (AUC: 0.87 ± 0.031, p = 0.048) and traditional LR (AUC: 85 ± 0.06, p = 0.035) when using the 24‐hour continuous NIHSS score. Predictive accuracy was similar between the 24‐hour NIHSS score dichotomous and continuous ML models. Interpretation: In this substudy, we found similar predictive accuracy for functional outcome when using the 24‐hour NIHSS score as a continuous or dichotomous variable in ML models. ML models had moderate‐to‐good predictive accuracy, with RF outperforming LR models. External validation of these ML models is warranted. ANN NEUROL 2023;93:40–49 [ABSTRACT FROM AUTHOR]

Published
2023
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12. Abstract 3062: Chronic Kidney Disease is an Independent Predictor of Cerebral Microbleeds in Black Patients with Intracerebral Hemorrhage

Author

Ovbiagele, Bruce, primary, Wing, Jeffrey J, additional, Menon, Ravi S, additional, Burgess, Richard E, additional, Gibbons, M C, additional, Sobotka, Ian, additional, German, Laura, additional, Shara, Nawar M, additional, Fernandez, Stephen, additional, Jayam-Trouth, Annapurni, additional, Edwards, Dorothy, additional, and Kidwell, Chelsea S, additional

Published
2012
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13. Abstract 99: Impact of Acute Perihematomal Edema on Long Term Outcomes Following Primary Intracerebral Hemorrhage

Author

Strand, Adam T, primary, Sobotka, Ian, additional, Wing, Jeffrey J, additional, Menon, Ravi S, additional, German, Laura, additional, Burgess, Richard E, additional, Gibbons, M. C, additional, Shara, Nawar M, additional, Fernandez, Stephen, additional, Jayam-Trouth, Annapurni, additional, Edwards, Dorothy F, additional, and Kidwell, CS, additional

Published
2012
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14. Abstract 81: Rapid Microbleed Formation in the First Year Following Primary Intracerebral Hemorrhage

Author

Mackey, Jason, primary, Wing, Jeffrey J, additional, Sobotka, Ian, additional, Menon, Ravi S, additional, Burgess, Richard E, additional, Gibbons, M. C, additional, Shara, Nawar M, additional, Fernandez, Stephen, additional, Jayam-Trouth, Annapurni, additional, German, Laura, additional, Edwards, Dorothy F, additional, and Kidwell, Chelsea S, additional

Published
2012
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16. Abstract 2267: Poor Long-Term Blood Pressure Control after Intracerebral Hemorrhage in a Predominantly African American Hypertensive Population

Author

Zahuranec, Darin B, primary, Wing, Jeffrey J, additional, Edwards, Dorothy F, additional, Menon, Ravi S, additional, Fernandez, Stephen J, additional, Burgess, Richard E, additional, Sobotka, Ian A, additional, German, Laura, additional, Boden-Albala, Bernadette, additional, Gibbons, M. Chris, additional, Trouth, Anna J, additional, Shara, Nawar M, additional, and Kidwell, Chelsea S, additional

Published
2012
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20. Design and Assembly of an 8 Tesla Whole-Body MR Scanner

Author

Robitaille, Pierre-Marie L., primary, Warner, Rory, additional, Jagadeesh, Jogikal, additional, Abduljalil, Amir M., additional, Kangarlu, Allahyar, additional, Burgess, Richard E., additional, Yu, Ying, additional, Yang, Lining, additional, Zhu, Hui, additional, Jiang, Zongchen, additional, Bailey, Robert E., additional, Chung, Wayne, additional, Somawiharja, Yohannes, additional, Feynan, Peter, additional, and Rayner, David L., additional

Published
1999
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23. Abstract 99.

Author

Strand, Adam T, Sobotka, Ian, Wing, Jeffrey J, Menon, Ravi S, German, Laura, Burgess, Richard E, Gibbons, M. C, Shara, Nawar M, Fernandez, Stephen, Jayam-Trouth, Annapurni, Edwards, Dorothy F, and Kidwell, Cs

Published
2012

24. Abstract 81.

Author

Mackey, Jason, Wing, Jeffrey J, Sobotka, Ian, Menon, Ravi S, Burgess, Richard E, Gibbons, M. C, Shara, Nawar M, Fernandez, Stephen, Jayam-Trouth, Annapurni, German, Laura, Edwards, Dorothy F, and Kidwell, Chelsea S

Published
2012

25. Abstract 3062.

Author

Ovbiagele, Bruce, Wing, Jeffrey J, Menon, Ravi S, Burgess, Richard E, Gibbons, M C, Sobotka, Ian, German, Laura, Shara, Nawar M, Fernandez, Stephen, Jayam-Trouth, Annapurni, Edwards, Dorothy, and Kidwell, Chelsea S

Published
2012

26. Abstract 2267.

Author

Zahuranec, Darin B, Wing, Jeffrey J, Edwards, Dorothy F, Menon, Ravi S, Fernandez, Stephen J, Burgess, Richard E, Sobotka, Ian A, German, Laura, Boden-Albala, Bernadette, Gibbons, M. Chris, Trouth, Anna J, Shara, Nawar M, and Kidwell, Chelsea S

Published
2012

27. Abstract 102.

Author

Kidwell, Chelsea S, Menon, Ravi S, Sobotka, Ian, German, Laura, Fernandez, Stephen, Gibbons, M. C, Wing, Jeffrey J, Burgess, Richard E, Shara, Nawar M, Jayam-Trouth, Annapurni, and Edwards, Dorothy F

Published
2012

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