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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Detalles Bibliográficos
Autores principales: Haas, Oliver, Lopera Gonzalez, Luis Ignacio, Hofmann, Sonja, Ostgathe, Christoph, Maier, Andreas, Rothgang, Eva, Amft, Oliver, Steigleder, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521932/
https://www.ncbi.nlm.nih.gov/pubmed/34713190
http://dx.doi.org/10.3389/fdgth.2021.724049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521932/
https://www.ncbi.nlm.nih.gov/pubmed/34713190
http://dx.doi.org/10.3389/fdgth.2021.724049

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