A machine learning risk model based on preoperative computed tomography scan to predict postoperativ...
A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy
About this item
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Publisher
Cham: Springer International Publishing
Journal title
Language
English
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Publication information
Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
Clinically relevant postoperative pancreatic fistula (CR-POPF) is a life-threatening complication following pancreaticoduodenectomy (PD). Individualized preoperative risk assessment could improve clinical management and prevent or mitigate adverse outcomes. The aim of this study is to develop a machine learning risk model to predict occurrence of C...
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Full title
A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy
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Record Identifier
TN_cdi_proquest_miscellaneous_2578779493
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2578779493
Other Identifiers
ISSN
2038-131X
E-ISSN
2038-3312
DOI
10.1007/s13304-021-01174-5
