Does logic Learning Machine create explicit and stable rules stratifying neuroblastoma patients?
The novelty of our work is to identify stability, explicit rules and blending of molecular and clinical risk factors as the key features to generate classification rules for NB patients to be conveyed to the clinic and to be used to design new therapies. We derived, through LLM, a set of four stable rules identifying a new class of poor outcome patients that could benefit from new therapies potentially targeting tumor hypoxia or its consequences.
Excessive use of analgesics postconcussion may contribute to chronic post-traumatic headaches in some adolescents. Management of patients with chronic post-traumatic headache should include analgesic detoxification when medication overuse is suspected.