Single Concatenated Input is Better than Indenpendent Multiple-input for CNNs to Predict Chemical-induced Disease Relation from Literature
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...
Saved in:
Main Authors: | Pham, Thi Quynh Trang, Bui, Manh Thang, Dang, Thanh Hai |
---|---|
Format: | Article |
Language: | English |
Published: |
H. : ĐHQGHN
2020
|
Subjects: | |
Online Access: | http://repository.vnu.edu.vn/handle/VNU_123/89096 https://doi.org/10.25073/2588-1086/vnucsce.237 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Vietnam National University, Hanoi |
Language: | English |
Similar Items
-
Biomedical image classification based on a feature concatenation and ensemble of deep CNNs
by: Nguyen, Long D., et al.
Published: (2021) -
Volatility Prediction of Stock Price Using News Articles: A Hybrid Approach
by: NGUYEN PHUONG DANG TOAN
Published: (2015) -
Recognition of transcription factor interactions based on NLP and artificial intelligence
by: ZUO LI
Published: (2011) -
Improving mandarin predictive text input by augmenting pinyin initials with speech and tonal information
by: Wang, G., et al.
Published: (2013) -
Deep CNNs for microscopic image classification by exploiting transfer learning and feature concatenation
by: Nguyen, Long D., et al.
Published: (2020)