A hybrid ML-LLM pipeline predicts lung cancer pain episodes at 48h and 72h with accuracies 0.876 and 0.917 on 266 patients, boosting sensitivity by ~10.6-10.7% via LLM augmentation of medication trends and clinical notes.
Predic- tion of cancer symptom trajectory using longitudinal electronic health record data and long short-term memory neural network
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AI-Driven Prediction of Cancer Pain Episodes: A Hybrid Decision Support Approach
A hybrid ML-LLM pipeline predicts lung cancer pain episodes at 48h and 72h with accuracies 0.876 and 0.917 on 266 patients, boosting sensitivity by ~10.6-10.7% via LLM augmentation of medication trends and clinical notes.