Personalized Prediction of Patient Radiation Exposure for Therapy of Urolithiasis: An Application and Comparison of Six Machine Learning Algorithms

The prediction of radiation exposure is an important tool for the choice of therapy modality and becomes, as a component of patient-informed consent, increasingly important for both surgeon and patient. The final goal is the implementation of a trained and tested machine learning model in a real-tim...

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Detalles Bibliográficos
Autores principales: Huettenbrink, Clemens, Hitzl, Wolfgang, Distler, Florian, Ell, Jascha, Ammon, Josefin, Pahernik, Sascha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146849/
https://www.ncbi.nlm.nih.gov/pubmed/37109029
http://dx.doi.org/10.3390/jpm13040643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146849/
https://www.ncbi.nlm.nih.gov/pubmed/37109029
http://dx.doi.org/10.3390/jpm13040643

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