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Julio Cesar Facelli

Adjunct Professor in the Department of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Translational Biomedical

Scholarly Works - Preprints


Toward Citation-Guided Sensor Metadata Enrichment: A Large Language Model-based Approach (Preprint)

Preprint · June 10, 2026 UNSTRUCTUREDBackground: Sensor metadata is critical for exposure health research because it supports accurate sensor identification, deployments, data integration, interoperability, and reproduci ... Full text Cite

Unlocking Insights: Using Electronic Health Record Audit Logs to Analyze Nursing Activities

Preprint · 2026 BackgroundElectronic Health Record (EHR) audit logs contain data that record how clinicians interact with the EHR. Audit logs have been used to analyze physician work, but their potential for studying nursing workflows remains largely untapped.Purp ... Full text Cite

Understanding Uncertainty in Large Language Model Predictions of Early Death in Critically Ill Patients: A Conformal Prediction Approach.

Preprint · December 15, 2025 BACKGROUND: Early prediction of in-hospital death remains a significant challenge due to the limited availability of structured data during initial admission. Unstructured clinical notes, which often contain important observations and impressions, are an u ... Full text Link to item Cite

Scaling Sensor Metadata Extraction for Exposure Health Using LLMs.

Preprint · August 26, 2025 BACKGROUND: The rapid evolution and diversity of sensor technologies, coupled with inconsistencies in how sensor metadata is reported across formats and sources, present significant challenges for generating exposomes and exposure health research. OBJECTIV ... Full text Link to item Cite