3 citations · 3 across the 1 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2025
Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs
Akram Mustafa, Usman Naseem, Mostafa Rahimi Azghadi
This study evaluates how well large language models (LLMs) can classify ICD-10 codes from hospital discharge summaries, a critical but error-prone task in healthcare. Using 1,500 s…
cs.CL2025★ 3 cited
Can Reasoning LLMs Enhance Clinical Document Classification?
Akram Mustafa, Usman Naseem, Mostafa Rahimi Azghadi
Clinical document classification is essential for converting unstructured medical texts into standardised ICD-10 diagnoses, yet it faces challenges due to complex medical language,…