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

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

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...

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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)
Format: Book
Published: Frontiers Media S.A., 2021-08-01T00:00:00Z.
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