Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using ma...
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
About this item
Full title
Author / Creator
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 and Speidel, Stefanie
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
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 learning methods to leverage the potential of th...
Alternative Titles
Full title
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
Authors, Artists and Contributors
Author / Creator
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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9613751
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9613751
Other Identifiers
ISSN
0930-2794,1432-2218
E-ISSN
1432-2218
DOI
10.1007/s00464-022-09611-1