Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining

• Main Authors: Oliver Haas (Author), Luis Ignacio Lopera Gonzalez (Author), Sonja Hofmann (Author), Christoph Ostgathe (Author), Andreas Maier (Author), Eva Rothgang (Author), Oliver Amft (Author), Tobias Steigleder (Author)
• פורמט: ספר
• יצא לאור: Frontiers Media S.A., 2021-08-01T00:00:00Z.
• נושאים: article
• גישה מקוונת: Connect to this object online.

We propose a novel knowledge extraction method based on Bayesian-inspired association rule mining to classify anxiety in heterogeneous, routinely collected data from 9,924 palliative patients. The method extracts association rules mined using lift and local support as selection criteria. The extract...