SUMMARY BACKGROUND China has a high TB burden and limited primary care. We therefore developed a risk prediction model using routine clinical and lab indicators to flag severe TB cases early. METHODS In a case–control study of 2,012 TB patients (499 severe, 1,513 non-severe) from four hospitals (2012–2022), patients we...
X. Hu, W. Shu, N. Su et al.· IJTLD open· 0 citations
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
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
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