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2. Construction of a Nomogram After Using Propensity Score Matching to Reveal the Prognostic Benefit of Tumor Resection of Stage IV M1a Nonsmall Cell Lung Cancer Patients
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3. A Nomogram for Predicting Survival in Advanced Non-Small-Cell Lung Carcinoma Patients: A Population-Based Study
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4. Early stage NSCLS patients’ prognostic prediction with multi-information using transformer and graph neural network model
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5. Develop and validate nomogram to predict cancer-specific survival for patients with testicular yolk sac tumors
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6. Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning
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8. Potential Impact of Cancer Susceptibility Genes on Lung Cancer Metastasis
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9. Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study
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