Prasanth Bathala

ORCID: 0009-0003-4457-5412
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About
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Research Areas
  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Natural Language Processing Techniques
  • Machine Learning in Healthcare

Georgia Institute of Technology
2023

David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie Mitchell. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

10.18653/v1/2023.emnlp-main.893 article EN cc-by Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing 2023-01-01

This work presents a new, original document classification dataset, BioSift, to expedite the initial selection and labeling of studies for drug repurposing. The dataset consists 10,000 human-annotated abstracts from scientific articles in PubMed. Each abstract is labeled with up eight attributes necessary perform meta-analysis utilizing popular patient-intervention-comparator-outcome (PICO) method: has human subjects, clinical trial/cohort, population size, target disease, study drug,...

10.1145/3539618.3591897 article EN cc-by Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 2023-07-18
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