2 papers
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
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,…