A systematic literature review of clustering techniques for patients with traumatic brain injury
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-023-10531-2.pdf
Reference256 articles.
1. Aaro Jonsson C, Catroppa C, Godfrey C et al (2013) Individual profiles of predictors and their relations to 10 years outcome after childhood traumatic brain injury. Brain Inj 27:831–838. https://doi.org/10.3109/02699052.2013.775493
2. ADACE CLM ADACE - Association of ABI of Castilla - La Mancha. https://www.adaceclm.org/. Accessed 11 Feb 2021
3. Adams JW, Alvarez VE, Mez J et al (2018) Lewy body pathology and chronic traumatic encephalopathy associated with contact sports. J Neuropathol Exp Neurol 77:757–768. https://doi.org/10.1093/jnen/nly065
4. Addison A, Obafemi-Ajayi T (2022) Comparative single-cell RNA-sequencing cluster analysis for traumatic brain injury marker genes detection. Epic Ser Comput 83:155–164. https://doi.org/10.29007/gj4p
5. Adlam A-LR, Adams M, Turnbull O et al (2017) The bangor gambling task: characterising the performance of survivors of traumatic brain injury. Brain Impair 18:62–73. https://doi.org/10.1017/BrImp.2016.30
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