A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication
Abstract Prognosis of the long-term functional outcome of traumatic brain injury is essential for personalized management of that injury. Nonetheless, accurate prediction remains unavailable. Although machine learning has shown promise in many fields, including medical diagnosis and prognosis, such...
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
Nature Portfolio
2021-05-01
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| Σειρά: | npj Digital Medicine |
| Διαθέσιμο Online: | https://doi.org/10.1038/s41746-021-00445-0 |