Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection.

Even though the remaining diagnostic class base-learners, including "Gastritis/Reflux Disease", did not reach statistical significance (p<0.05), employing a stack that solely resorts to significant base-learners led to a reduction in generalization capacity: AUC 0.98 (95% CI 0.97–0.99), sensitivity 0.98 (95% CI 0.95–1), PPV 0.92 (95% CI 0.91–0.92), NPV 0.97 (95% CI 0.94–0.99) in the discovery set; AUC 0.93 (95% CI 0.87–0.99), sensitivity 0.82 (95% CI 0.64–0.95), PPV 0.53 (95% CI 0.47–0.57), NPV 0.97 (95% CI 0.95–0.99) in the validation set.

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