HIGHLIGHTS
- who: Weizeng Ni et al. from the of Mechanical Engineering, University of Cincinnati Cincinnati, OH, USA have published the research: Model-Independent Evaluation of Tumor Markers and a Logistic-Tree Approach to Diagnostic Decision Support, in the Journal: (JOURNAL)
- what: The authors propose two model-independent criteria namely area under the curve (AUC) and Relief to evaluate the diagnostic values of individual and multiple tumor markers respectively. For diagnostic decision support the authors propose the use of logistic-tree which combines decision tree and logistic regression. Based on the findings, the authors propose proper criteria . . .
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