| 1 |
Factors Associated with Recurrence in Chronic Subdural Hematoma following Surgery |
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| | Kritsada Buakate, Thara Tunthanathip | | | Journal of Health and Allied Sciences NU. 2023; | | | [Pubmed] [Google Scholar] [DOI] | | | 2 |
Economic impact of a machine learning-based strategy for preparation of blood products in brain tumor surgery |
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| | Thara Tunthanathip, Sakchai Sae-heng, Thakul Oearsakul, Anukoon Kaewborisutsakul, Chin Taweesomboonyat, Venkatesh Shankar Madhugiri | | | PLOS ONE. 2022; 17(7): e0270916 | | | [Pubmed] [Google Scholar] [DOI] | | | 3 |
Comparison of intracranial injury predictability between machine learning algorithms and the nomogram in pediatric traumatic brain injury |
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| | Thara Tunthanathip, Jarunee Duangsuwan, Niwan Wattanakitrungroj, Sasiporn Tongman, Nakornchai Phuenpathom | | | Neurosurgical Focus. 2021; 51(5): E7 | | | [Pubmed] [Google Scholar] [DOI] | | | 4 |
Application of machine learning to predict the outcome of pediatric traumatic brain injury |
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| | Thara Tunthanathip, Thakul Oearsakul | | | Chinese Journal of Traumatology. 2021; 24(6): 350 | | | [Pubmed] [Google Scholar] [DOI] | | | 5 |
Prognostic Impact of the Combination of MGMT Methylation and TERT Promoter Mutation in Glioblastoma |
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| | Thara Tunthanathip, Surasak Sangkhathat, Pimwara Tanvejsilp, Kanet Kanjanapradit | | | Journal of Neurosciences in Rural Practice. 2021; 12(04): 694 | | | [Pubmed] [Google Scholar] [DOI] | |
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