An interactive Bayesian model for prediction of lymph node ratio and survival in pancreatic cancer patients.
CONCLUSIONS: We provide a new approach and tool set for the prediction of LNR and survival that are generally applicable to a host of cancer types, including breast, colon, melanoma, and stomach. Our methods are illustrated with the development of a validated model and web applications for the prediction of survival in a large set of pancreatic cancer patients.
PMID: 24444460 [PubMed - as supplied by publisher]
Source: Journal of the American Medical Informatics Association - Category: Information Technology Authors: Smith BJ, Mezhir JJ Tags: J Am Med Inform Assoc Source Type: research
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