Mathematics Research Seminar Series: Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts

Mathematics Research Seminar Series
Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts

by Lean Franzl Yao
PhD Student
Social Computing Laboratory of Nara Institute of Science and Technology (NAIST), Japan

Date: Monday, 09 Oct 2023
Time: 5:00 - 6:00 pm
Venue: (Online) https://bit.ly/AdmuMathMRSS 
            (Onsite) Sec A 303-304

Abstract:
Medical research prioritization is an important aspect of decision-making by researchers and relevant stakeholders. The ever-increasing availability of technology and data has opened doors to new discoveries and new questions. This makes it difficult for researchers and relevant stakeholders to make well-informed decisions about the research areas they want to support and the nations they should look for collaborations. It is, therefore, useful to look at the spatio-temporal trends of medical research prioritization to gain insight into popular and neglected areas of research as well as the allocation of prioritization of each nation. In this study, we develop a system that collects, classifies, and summarizes case report abstracts according to the location, time, and disease category of the report. The additional classifications allow us to visualize and monitor the trends in medical research prioritization by location, time, and disease category.

About the Speaker:
Lean Franzl Yao is currently a PhD student at the Social Computing Laboratory of Nara Institute of Science and Technology (NAIST), Japan. His work focuses on developing tools and illustrating the relevancy of both state-of-the-art and traditional NLP methods within the context of rare disease research. He studied Applied Mathematics majoring in Mathematical Finance for both his undergraduate and master’s degree and has experience with modeling and statistical analysis using financial, economic, education, health, medical, and biological data. Previously, he was an Instructor at the Ateneo de Manila University teaching courses on college algebra, calculus, statistics, mathematical finance, and operations research.