Participants: G. Elisabeta Marai, Juan Trelles Trabucco

Institutions: University of Delaware

EVL faculty and Computer Science associate professor G. Elisabeta Marai (MPI) along with H. Shatkay (MPI) at the University of Delaware have been awarded supplemental funding for COVID-19 related research to their NIH research project entitled “Uncovering Clinical Evidence in COVID-19 Publications: An Integrated Search via Text & Images”. This supplement expands the work done under current R01 funding “Incorporating Image-based Features into Biomedical Document Classification”, to support discovery within the CORD-19 collection -- a large, continually updated collection of more than 60,000 scientific articles pertaining to COVID-19. This supplement will create a comprehensive platform for retrieving and displaying well-focused, need-targeted medical information within COVID-19 biomedical publications. Our approach is unique compared to other text-mining methods because it leverages the image content in the dataset.

Funding: NIH R01 NLM Covid-19 supplement to Parent Grant: 1R01LM012527 (“Incorporating Image-based Features into Biomedical Document Classification”)

Date: September 1, 2020 - August 31, 2021

Related Entries

Directory:

• Juan Trelles Trabucco
• G. Elisabeta Marai

Research:

• Incorporating Image-based Features into Biomedical Document Classification

Related Categories

• Applications
• Artificial Intelligence
• Data Mining
• Data Science
• Deep Learning
• Machine Learning
• Software
• User Groups
• Visual Analytics
• Visual Informatics
• Visualization