Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data

BACKGROUND: Personalized medicine requires the integration and analysis of vast amounts of patient data to realize individualized care. With Surgomics, we aim to facilitate personalized therapy recommendations in surgery by integration of intraoperative surgical data and their analysis with machine...

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Detalles Bibliográficos
Autores principales: Wagner, Martin, Brandenburg, Johanna M., Bodenstedt, Sebastian, Schulze, André, Jenke, Alexander C., Stern, Antonia, Daum, Marie T. J., Mündermann, Lars, Kolbinger, Fiona R., Bhasker, Nithya, Schneider, Gerd, Krause-Jüttler, Grit, Alwanni, Hisham, Fritz-Kebede, Fleur, Burgert, Oliver, Wilhelm, Dirk, Fallert, Johannes, Nickel, Felix, Maier-Hein, Lena, Dugas, Martin, Distler, Marius, Weitz, Jürgen, Müller-Stich, Beat-Peter, Speidel, Stefanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
2022 EAES Oral
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613751/
https://www.ncbi.nlm.nih.gov/pubmed/36171451
http://dx.doi.org/10.1007/s00464-022-09611-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613751/
https://www.ncbi.nlm.nih.gov/pubmed/36171451
http://dx.doi.org/10.1007/s00464-022-09611-1

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