An interpretable AI model for recurrence prediction after surgery in gastrointestinal stromal tumour: an observational cohort study

BACKGROUND: There are several models that predict the risk of recurrence following resection of localised, primary gastrointestinal stromal tumour (GIST). However, assessment of calibration is not always feasible and when performed, calibration of current GIST models appears to be suboptimal. We aim...

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Detalles Bibliográficos
Autores principales: Bertsimas, Dimitris, Margonis, Georgios Antonios, Tang, Seehanah, Koulouras, Angelos, Antonescu, Cristina R., Brennan, Murray F., Martin-Broto, Javier, Rutkowski, Piotr, Stasinos, Georgios, Wang, Jane, Pikoulis, Emmanouil, Bylina, Elzbieta, Sobczuk, Pawel, Gutierrez, Antonio, Jadeja, Bhumika, Tap, William D., Chi, Ping, Singer, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507206/
https://www.ncbi.nlm.nih.gov/pubmed/37731933
http://dx.doi.org/10.1016/j.eclinm.2023.102200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507206/
https://www.ncbi.nlm.nih.gov/pubmed/37731933
http://dx.doi.org/10.1016/j.eclinm.2023.102200

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