HIGHLIGHTS
- What: The AUC was 0.803 for the training set and 0.797 for the validation set indicating that the model showed high clinical diagnostic efficacy. Currently, there are few reports on the application of Nomogram models for GC diagnosis, with more studies focusing on In the study , CEA and CA19-9 were identified as independent indicators associated with GC. This approach has been widely used to evaluate disease prognosis or predict disease diagnosis .
- Who: . and colleagues from the The University of Sydney, Australia have published the research work: Establishment and validation of a nomogram . . .
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