Neural Networks Modeling for Prediction of Required Resources for Personalized Endourologic Treatment of Urolithiasis

When scheduling surgeries for urolithiasis, the lack of information about the complexity of procedures and required instruments can lead to mismanagement, cancellations of elective surgeries and financial risk for the hospital. The aim of this study was to develop, train, and test prediction models...

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Detalles Bibliográficos
Autores principales: Huettenbrink, Clemens, Hitzl, Wolfgang, Pahernik, Sascha, Kubitz, Jens, Popeneciu, Valentin, Ell, Jascha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143218/
https://www.ncbi.nlm.nih.gov/pubmed/35629205
http://dx.doi.org/10.3390/jpm12050784

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143218/
https://www.ncbi.nlm.nih.gov/pubmed/35629205
http://dx.doi.org/10.3390/jpm12050784

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