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Fig. 7 | BMC Public Health

Fig. 7

From: Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer

Fig. 7

Calibration curves for predicting patient survival. Calibration curves for 1-, 3-, and 5-year overall survival in the SEER and Chinese datasets. By plotting overall survival on x-axis and the actual observed overall survival on y-axis, the calibration of the model can be evaluated. A line closer to 45 degrees indicates better calibration, suggesting that the predicted probabilities closely match actual outcomes. (A) 1 year after surgery in the SEER dataset (B) and 1 year after surgery in the Chinese dataset; (C) 3 years after surgery in the SEER dataset (D) and 3 years after surgery in the Chinese dataset; (E) 5 years after surgery in the SEER dataset (F) and 5 years after surgery in the Chinese dataset. SEER: Surveillance, Epidemiology, and End Results

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BMC Public Health

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