OEDL: an optimized ensemble deep learning method for the prediction of acute ischemic stroke prognoses using union features

ConclusionThe OEDL approach proposed herein could effectively achieve improved stroke prognosis prediction performance, the effect of using combined data modeling was significantly better than that of single clinical or radiomics feature models, and the proposed method had a better intervention guidance value. Our approach is beneficial for optimizing the early clinical intervention process and providing the necessary clinical decision support for personalized treatment.
Source: Frontiers in Neurology - Category: Neurology Source Type: research