A BERT-plus-random-forest pipeline fusing clinical notes and lab values reports 98-99% accuracy on PLCO prostate cancer staging, with an ablation suggesting text improves recall for intermediate stages.
An explainable ai-driven biomarker discovery framework for non-small cell lung cancer classification,
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Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI
A BERT-plus-random-forest pipeline fusing clinical notes and lab values reports 98-99% accuracy on PLCO prostate cancer staging, with an ablation suggesting text improves recall for intermediate stages.