We have 4 of 9 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Model performance varied across survey rounds and subgroups, highlighting the importance of temporal validation, subgroup fairness assessment, and transparent interpretation in public health prediction modeling.
The results demonstrate that zero-shot inference using GPT-4o-mini achieved comparable balanced accuracy to the supervised baseline while exhibiting substantially higher sensitivity for identifying stunting cases, relatively consistent performance across child sex groups, and stable predictive behaviour across BDHS wav...
It is suggested that LLMs can support clinically meaningful, training-free CKD screening using minimal community-accessible patient features, offering a practical complement to conventional ML methods in real-world screening contexts.
This study evaluates the effectiveness of large language models for CKD screening under zero-shot and few-shot in-context learning settings and compares them with traditional ML and DL methods and proposes a framework that uses clinically selected tabular features and structured prompt templates to enable LLM-based inf...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
