Predictive Modeling for Clinical Features Associated With Neurofibromatosis Type 1

Conclusions Using readily available clinical and EHR data, we successfully recapitulated several important and clinically relevant patterns in NF1 semiology specifically based on demographic and clinical characteristics. Naive machine learning techniques can be potentially used to develop and validate predictive phenotype complexes applicable to risk stratification and disease management in NF1.
Source: Neurology Clinical Practice - Category: Neurology Authors: Tags: Prognosis, Primary brain tumor, ADHD, Natural history studies (prognosis), Neurofibromatosis Research Source Type: research