Login / Signup

Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study.

Isidoro J CasanovaManuel CamposJose M JuarezAntonio GomarizMarta Lorente-RosJose A Lorente
Published in: JMIR medical informatics (2022)
A method for the classification of patients' survival can benefit from the use of sequential patterns, as these patterns consider knowledge about the temporal evolution of the variables in the case of ICBU. We have proved that the DOR can be used in several ways, and that it is a suitable measure to select discriminative and interpretable quality patterns.
Keyphrases
  • end stage renal disease
  • healthcare
  • newly diagnosed
  • chronic kidney disease
  • ejection fraction
  • machine learning
  • deep learning
  • prognostic factors
  • quality improvement