From the 2 of 19 papers with an AI index.
11 citations
- IBM (United States)US3 papers
- Charles Sturt UniversityAU2 papers
- Lawrence Livermore National LaboratoryUS2 papers
- Los Alamos National LaboratoryUS2 papers
- Oak Ridge National LaboratoryUS2 papers
- Space Telescope Science InstituteUS2 papers
- The University of Texas at AustinUS2 papers
- American Association of Variable Star ObserversUS1 paper
- Argonne National LaboratoryUS1 paper
- Asacpharma (Spain)ES1 paper
- AWE Nuclear Security TechnologiesGB1 paper
- BAE Systems (Sweden)SE1 paper
3 papers · 1 filter
From Many to Meaningful: Feature-Guided Zero-Shot Chronic Kidney Disease Screening Using Large Language Models
Muhammad Ashad Kabir, Sirajam Munira
The paper investigates using large language models in a zero-shot setting to screen for chronic kidney disease by converting a compact set of community-accessible clinical features…
SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
Inwon Kang, Kavitha Srinivas, Nandana Mihindukulasooriya +4
Schema matching is a fundamental step in integrating heterogeneous data sources. While Pre-trained Language Models (PLMs) have revolutionized this task by capturing linguistic sema…
Community-Based Early-Stage Chronic Kidney Disease Screening using Explainable Machine Learning for Low-Resource Settings
Muhammad Ashad Kabir, Sirajam Munira, Dewan Tasnia Azad +3
Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing screening tools - primarily developed using po…