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Connection

Ramon Casanova to ROC Curve

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This is a "connection" page, showing publications Ramon Casanova has written about ROC Curve.
Ramon Casanova
Connection Strength
0.116
ROC Curve
  1. Casanova R, Saldana S, Chew EY, Danis RP, Greven CM, Ambrosius WT. Application of random forests methods to diabetic retinopathy classification analyses. PLoS One. 2014; 9(6):e98587.
    View in: PubMed
    Score: 0.116
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.