A machine learning analysis of difficulty scoring systems for laparoscopic liver surgery
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1432-2218
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
A machine learning analysis of difficulty scoring systems for laparoscopic liver surgery ; day:23 ; month:5 ; year:2022 ; pages:1-12
Surgical endoscopy and other interventional techniques ; (23.5.2022), 1-12
- Creator
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Ruzzenente, Andrea
Bagante, Fabio
Poletto, Edoardo
Campagnaro, Tommaso
Conci, Simone
Bellis, Mario De
Pedrazzani, Corrado
Guglielmi, Alfredo
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00464-022-09322-7
- URN
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urn:nbn:de:101:1-2022072621334973546511
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ruzzenente, Andrea
- Bagante, Fabio
- Poletto, Edoardo
- Campagnaro, Tommaso
- Conci, Simone
- Bellis, Mario De
- Pedrazzani, Corrado
- Guglielmi, Alfredo
- SpringerLink (Online service)
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Utility of a novel scoring system for difficulty of pure laparoscopic hepatectomy for intrahepatic cholangiocarcinoma
A novel difficulty grading system for laparoscopic living donor nephrectomy
Utilisation of an operative difficulty grading scale for laparoscopic cholecystectomy
Development and validation of machine learning models and nomograms for predicting the surgical difficulty of laparoscopic resection in rectal cancer
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Concomitant training in robotic and laparoscopic liver resections of low-to-intermediate difficulty score: a retrospective analysis of the learning curve
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