Clinical trials play a pivotal role in advancing medical research and healthcare practices. However, the process of identifying suitable candidates for clinical trials and predicting their outcomes remains a significant challenge. This project aims to leverage the power of natural language processing (NLP) and graph mining techniques to develop a novel framework for clinical trial prediction.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Umbetzhan, Dinmukhamed

Subject

• Project-Based Learning
• Health

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-060123-191633
• 110926

Advisor

• Murai, Fabricio
• Liu, Xiaozhong

Year

• 2023

UN Sustainable Development Goals

• Not Specified

Date created

• 2023-06-01

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-060123-191633

Rights statement

• In Copyright

License

• All rights reserved

Last modified

• 2023-08-22