Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions

摘要

Schematic diagram for predicting diseases related to EMRS. Extracted local information from several adjacent words. Extracted context information for words in EMRs. Establish attention mechanisms at the word level and phrase level and deeply integrate local and context information to obtain combination information. Fully learn local information, context information and combination information