Interpretable deep learning survival predictions in sporadic Creutzfeldt-Jakob disease.
Journal:
Journal of neurology
PMID:
39680177
Abstract
BACKGROUND: Sporadic Creutzfeldt-Jakob disease (sCJD) is a rapidly progressive and fatal prion disease with significant public health implications. Survival is heterogenous, posing challenges for prognostication and care planning. We developed a survival model using diagnostic data from comprehensive UK sCJD surveillance.