Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach
BackgroundNovel coronavirus disease 2019 (COVID-19) is taking a huge toll on public health. Along with the non-therapeutic preventive measurements, scientific efforts are currently focused, mainly, on the development of vaccines and pharmacological treatment with existing dru...
Main Authors: | Khan, Junaed Younus, Khondaker, Md Tawkat Islam, Hoque, Iram Tazim, Al-Absi, Hamada R H, Rahman, Mohammad Saifur, Guler, Reto, Alam, Tanvir, Rahman, M Sohel |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-11-01
|
Series: | JMIR Medical Informatics |
Online Access: | http://medinform.jmir.org/2020/11/e21648/ |
Similar Items
-
Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner
by: Md. Tawkat Islam Khondaker, et al.
Published: (2020-01-01) -
Obesity in Qatar: A Case-Control Study on the Identification of Associated Risk Factors
by: Md. Tawkat Islam Khondaker, et al.
Published: (2020-10-01) -
A benchmark study of machine learning models for online fake news detection
by: Junaed Younus Khan, et al.
Published: (2021-06-01) -
A contour property based approach to segment nuclei in cervical cytology images
by: Iram Tazim Hoque, et al.
Published: (2021-01-01) -
A Random Forest based predictor for medical data classification using feature ranking
by: Md. Zahangir Alam, et al.
Published: (2019-01-01)