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Evaluation of Transfer Learning Models on Traumatic Brain ...
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由 N Do 著作2024 — This work investigates a viable efficient low cost transfer learning model to use MRI images to predict GCS, Rotterdam, and Marshall severity class after TBI.
Evaluation of Transfer Learning Models on Traumatic Brain ...
Scholars' Mine
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由 N Do 著作2024 — The GCS score is a commonly used method to assess and classify severity of TBI patients into three categories based on the total score: severe ( ...
Evaluation of Transfer Learning Models on Traumatic Brain ...
Semantic Scholar
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A viable efficient low cost transfer learning model to use MRI images to predict GCS, Rotterdam, and Marshall severity class after TBI and the sensitivity ...
Evaluation of Transfer Learning Models on Traumatic Brain ...
ResearchGate
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2024年10月11日 — Transfer Learning. Conference Paper. Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification. August 2024. DOI ...
Evaluation of Transfer Learning Models on Traumatic Brain ...
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Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
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Utility of the Marshall & Rotterdam Classification Scores in ...
ScienceDirect.com
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由 A Elkbuli 著作2021被引用 23 次 — This study aims to determine the utility of the Marshall and Rotterdam scores in predicting mortality for adult patients in coma with severe TBI.
Machine learning models to predict traumatic brain injury ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 A Zimmerman 著作2023 — The objective of this study was to investigate the predictive value of delays to emergency care in machine learning based traumatic brain injury (TBI) ...
Utilizing ultra-early continuous physiologic data to develop ...
Nature
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由 S Yang 著作2024被引用 1 次 — Models were tested in TBI with ... Mortality prediction in severe traumatic brain injury using traditional and machine learning algorithms.
transfer learning in severity classification in alzheimer's
ResearchGate
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2024年7月25日 — With regard to this study, we propose a transfer learning based early detection approach for Alzheimer's disease using Moderate Demented, Mild ...
A machine learning model for predicting favorable outcome ...
Acute and Critical Care
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由 M Nourelahi 著作2022被引用 20 次 — In this study, we examined the capability of a machine learning-based model in predicting “favorable” or “unfavorable” outcomes after 6 months in severe TBI ...
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