Public articles linked to the same research event.
medRxiv Using a zero-shot large language model pipeline (Gemini 3.5 Flash and Claude Haiku) to extract 46 symptoms from 2,728 discharge notes of 1,507 colorectal cancer patients in MIMIC-IV, this study built patient-level symptom co-occurrence networks with phi correlation (≥0.10) and Louvain community detection; both models converged on three clinically coherent symptom clusters — Systemic, CRC Disease-Specific, and Gastrointestinal — and Systemic cluster burden was associated with in-hospital mortality (OR=1.33) and 1-year mortality (OR=1.41) while CRC Disease-Specific cluster burden independently predicted 30-day readmission (OR=1.20), with both associations robust to adjustment for metastatic disease.
Using a zero-shot large language model pipeline (Gemini 3.5 Flash and Claude Haiku) to extract 46 symptoms from 2,728 discharge notes of 1,507 colorectal cancer patients in MIMIC-IV, this study built patient-level symptom co-occurrence networks with phi correlation (≥0.10) and Louvain community detection; both models converged on three clinically coherent symptom clusters — Systemic, CRC Disease-Specific, and Gastrointestinal — and Systemic cluster burden was associated with in-hospital mortality (OR=1.33) and 1-year mortality (OR=1.41) while CRC Disease-Specific cluster burden independently predicted 30-day readmission (OR=1.20), with both associations robust to adjustment for metastatic disease.
Using a zero-shot large language model pipeline (Gemini 3.5 Flash and Claude Haiku) to extract 46 symptoms from 2,728 discharge notes of 1,507 colorectal cancer patients in MIMIC-IV, this study built patient-level symptom co-occurrence networks with phi correlation (≥0.10) and Louvain community detection; both models converged on three clinically coherent symptom clusters — Systemic, CRC Disease-Specific, and Gastrointestinal — and Systemic cluster burden was associated with in-hospital mortality (OR=1.33) and 1-year mortality (OR=1.41) while CRC Disease-Specific cluster burden independently predicted 30-day readmission (OR=1.20), with both associations robust to adjustment for metastatic disease.
Using a zero-shot large language model pipeline (Gemini 3.5 Flash and Claude Haiku) to extract 46 symptoms from 2,728 discharge notes of 1,507 colorectal cancer patients in MIMIC-IV, this study built patient-level symptom co-occurrence networks with phi correlation (≥0.10) and Louvain community detection; both models converged on three clinically coherent symptom clusters — Systemic, CRC Disease-Specific, and Gastrointestinal — and Systemic cluster burden was associated with in-hospital mortality (OR=1.33) and 1-year mortality (OR=1.41) while CRC Disease-Specific cluster burden independently predicted 30-day readmission (OR=1.20), with both associations robust to adjustment for metastatic disease.