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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 ma...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9613751

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

About this item

Full title

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

Publisher

New York: Springer US

Journal title

Surgical endoscopy, 2022-11, Vol.36 (11), p.8568-8591

Language

English

Formats

Publication information

Publisher

New York: Springer US

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

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

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