Author

I. Dinov

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Review Open access Sep 2026

Leveraging Large Language Models for Colorectal Cancer Symptom Extraction from MIMIC-IV Clinical Notes

Background: Much of the symptom burden in colorectal cancer (CRC) patients is documented in unstructured discharge-note narrative, and manual extraction is not scalable. Whether large language models (LLMs) outperform rule-based and named entity recognition (NER) methods has not been rigorously benchmarked. Objective:...

Y. Lee, I. Dinov, X. Hu et al. · medRxiv · 0 citations

Review Open access Sep 2026

Large Language Model-derived Symptom Clusters and Patient Outcomes in Colorectal Cancer from MIMIC-IV Clinical Notes

LLM-extracted symptom data recover clinically coherent, reproducible SCs from unstructured discharge notes that carry independent prognostic value for mortality and readmission, supporting the clinical validity of automated, EHR-derived symptom profiling in CRC.

Y. Lee, I. Dinov, X. Hu et al. · medRxiv · 0 citations