5 papers
LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data
Akshat Dasula, Prasanna Desikan, Jaideep Srivastava
Large language models (LLMs) are increasingly applied to structured clinical data, yet whether they can recognize the limits of their own knowledge on such tasks remains unexplored…
CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
Akshat Dasula, Prasanna Desikan, Jaideep Srivastava +2
Incomplete or inconsistent discharge documentation drives care fragmentation and avoidable readmissions. Despite its critical role in patient safety, auditing discharge summaries r…
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries
Harshavardhan Battula, Jiacheng Liu, Jaideep Srivastava
To evaluate a multi-representational framework in which large language model (LLM)-generated expert summaries of intensive care unit (ICU) notes are fused with physiology for in-ho…
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction
Jiacheng Liu, Jaideep Srivastava
Missingness and measurement frequency are two sides of the same coin. How frequent should we measure clinical variables and conduct laboratory tests? It depends on many factors suc…
A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time
Jiacheng Liu, Lisa Kirkland, Jaideep Srivastava
Unlike in a clinical trial, where researchers get to determine the least number of positive and negative samples required, or in a machine learning study where the size and the cla…