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A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months
Mehdi Nourelahi, Fardad Dadboud, Hosseinali Khalili, Amin Niakan, Hossein Parsaei
Acute and Critical Care. 2022;37(1):45-52.   Published online 2022 January 21    DOI: https://doi.org/10.4266/acc.2021.00486

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A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months
Acute and Critical Care. 2022;37(1):45-52   Crossref logo
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Predicting outcome after traumatic brain injury
Handbook of Clinical Neurology. 2015;455-474   Crossref logo
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Outcome after surgical decompression of severe traumatic brain injury
Injury. 2006;37(12):1125-1132   Crossref logo
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Predicting Global Functional Outcomes Among Post-traumatic Epilepsy Patients After Moderate-to-Severe Traumatic Brain Injury: Development of a Prognostic Model
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Predicting Outcome Following Traumatic Brain Injury
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Predicting Early Outcome Using Alpha-II Spectrin Breakdown Products in Human Cerebrospinal Fluid after Severe Traumatic Brain Injury
Academic Emergency Medicine. 2006;13(5Supplement 1):S39-S40   Crossref logo
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Nutritional treatment of patients with severe traumatic brain injury during the first six months after injury
Nutrition. 2007;23(4):308-317   Crossref logo
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Outcome 1 to 3 years after severe traumatic brain injury in children and adolescents
Injury. 1991;22(4):315-320   Crossref logo
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Machine Learning Model for Predicting Acute Respiratory Failure in Individuals With Moderate-to-Severe Traumatic Brain Injury
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Acoustic Characteristics of Voice After Severe Traumatic Brain Injury
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