Development of a Multimodal Machine Learning-Based Prognostication Model for Traumatic Brain Injury Using Clinical Data and Computed Tomography Scans: A CENTER-TBI and CINTER-TBI Study-Reference-Cited by-同舟云学术

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Development of a Multimodal Machine Learning-Based Prognostication Model for Traumatic Brain Injury Using Clinical Data and Computed Tomography Scans: A CENTER-TBI and CINTER-TBI Study

Published:2024-06-01 Issue:11-12 Volume:41 Page:1323-1336
ISSN:0897-7151
Container-title:Journal of Neurotrauma
language:en
Short-container-title:Journal of Neurotrauma

Author:

Hibi Atsuhiro¹²³,Cusimano Michael D.¹³,Bilbily Alexander²⁴,Krishnan Rahul G.⁵⁶,Tyrrell Pascal N.¹²⁷,

Affiliation:

1. Institute of Medical Science, Departments of University of Toronto, Toronto, Ontario, Canada.

2. Medical Imaging, University of Toronto, Toronto, Ontario, Canada.

3. Division of Neurosurgery, St Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada.

4. Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

5. Computer Science, University of Toronto, Toronto, Ontario, Canada.

6. Laboratory Medicine and Pathobiology, and University of Toronto, Toronto, Ontario, Canada.

7. Statistical Sciences, University of Toronto, Toronto, Ontario, Canada.

Publisher

Mary Ann Liebert Inc

Link

https://www.liebertpub.com/doi/pdf/10.1089/neu.2023.0446

Reference31 articles.

1. Textbook of Traumatic Brain Injury

2. Global neurotrauma research challenges and opportunities

3. Neuroimaging in traumatic brain imaging

4. Prognostication and Goals of Care Decisions in Severe Traumatic Brain Injury: A Survey of The Seattle International Severe Traumatic Brain Injury Consensus Conference Working Group

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