Single Concatenated Input is Better than Indenpendent Multiple-input for CNNs to Predict Chemical-induced Disease Relation from Literature

• Main Authors: Pham, Thi Quynh Trang, Bui, Manh Thang, Dang, Thanh Hai
• 格式: Article
• 語言: English
• 出版: H. : ĐHQGHN 2020
• 主題: Chemical disease relation prediction; Convolutional neural network; Biomedical text mining
• 在線閱讀: http://repository.vnu.edu.vn/handle/VNU_123/89096; https://doi.org/10.25073/2588-1086/vnucsce.237

Chemical compounds (drugs) and diseases are among top searched keywords on the PubMed database of biomedical literature by biomedical researchers all over the world (according to a study in 2009). Working with PubMed is essential for researchers to get insights into drugs’ side effects (chemical-ind...