chronic kidney disease screening 1clinical informatics 1feature selection 1large language models 1zero-shot learning 1
From the 1 of 12 papers with an AI index.
38 citations
- American UniversityUS7 papers
- Australian National UniversityAU7 papers
- Australian Regenerative Medicine InstituteAU7 papers
- Bard CollegeUS7 papers
- Bar-Ilan UniversityIL7 papers
- Beijing Normal UniversityCN7 papers
- California Institute of TechnologyUS7 papers
- California State University, FullertonUS7 papers
- California State University SystemUS7 papers
- Cardiff UniversityGB7 papers
- Carleton CollegeUS7 papers
- Centro Ricerche Enrico FermiIT7 papers
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
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…
cs.LG2026★ 2 cited
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…