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Table 1 Prior studies about the weight optimization methods

From: A rank weighted classification for plasma proteomic profiles based on case-based reasoning

Authors Year Methods Weights
Cardie & Howe [14] (1997) Information gain G(f) a
Ahn & Kim [12] (2009) Relative importance [0-7] \( \frac{x_f}{\sum \limits_{f=1}^m{x}_f} \)
Gu et al. [13] (2010) Delphi method
Chang et al. [5] (2011) Delphi method
Zhao et al. [7] (2011) Entropy method \( \frac{entropy_f}{\sum \limits_{f=1}^m{entropy}_f} \)
Liang et al. [8] (2012) Logistic regression \( \frac{Wald_f}{\sum \limits_{f=1}^m{Wald}_f} \)
  1. a indicates information gain of the f-th feature, and entropy is defined as \( -\sum \limits_i{p}_i\bullet {\log}_2{p}_i \)