most citedAD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CL2022★ 3 cited

AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease

Chengsheng Mao, Jie Xu, Luke Rasmussen +9

Objective: We develop a deep learning framework based on the pre-trained Bidirectional Encoder Representations from Transformers (BERT) model using unstructured clinical notes from…