Clinical decision support models for oropharyngeal cancer treatment: design and evaluation of a multi-stage knowledge abstraction and formalization process

PURPOSE: Treatment decisions in oncology are demanding and affect survival, general health, and quality of life. Expert systems can handle the complexity of the oncological field. We propose the application of a hybrid modeling approach for decision support models consisting of expert-based implemen...

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Detalles Bibliográficos
Autores principales: Gaebel, Jan, Mehlhorn, Stefanie, Oeser, Alexander, Dietz, Andreas, Neumuth, Thomas, Stoehr, Matthaeus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463318/
https://www.ncbi.nlm.nih.gov/pubmed/35657475
http://dx.doi.org/10.1007/s11548-022-02675-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463318/
https://www.ncbi.nlm.nih.gov/pubmed/35657475
http://dx.doi.org/10.1007/s11548-022-02675-3

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