Machine learning prediction model for postoperative outcome after perforated appendicitis (English)
- New search for: Eickhoff, Roman Marius
- New search for: Bulla, Alwin
- New search for: Eickhoff, Simon B.
- New search for: Heise, Daniel
- New search for: Helmedag, Marius Julian
- New search for: Kroh, Andreas
- New search for: Schmitz, Sophia Marie-Therese
- New search for: Klink, Christian Daniel
- New search for: Neumann, Ulf Peter
- New search for: Lambertz, Andreas
- New search for: Eickhoff, Roman Marius
- New search for: Bulla, Alwin
- New search for: Eickhoff, Simon B.
- New search for: Heise, Daniel
- New search for: Helmedag, Marius Julian
- New search for: Kroh, Andreas
- New search for: Schmitz, Sophia Marie-Therese
- New search for: Klink, Christian Daniel
- New search for: Neumann, Ulf Peter
- New search for: Lambertz, Andreas
2022
- Miscellaneous / Electronic Resource
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Title:Machine learning prediction model for postoperative outcome after perforated appendicitis
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Contributors:Eickhoff, Roman Marius ( author , ) / Bulla, Alwin ( author ) / Eickhoff, Simon B. ( author ) / Heise, Daniel ( author ) / Helmedag, Marius Julian ( author ) / Kroh, Andreas ( author ) / Schmitz, Sophia Marie-Therese ( author ) / Klink, Christian Daniel ( author ) / Neumann, Ulf Peter ( author ) / Lambertz, Andreas ( author )
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Publisher:
- New search for: RWTH Aachen University
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Publication date:2022-01-01
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Size:789-795 pages
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Remarks:Langenbeck's archives of surgery 407(2), 789-795 (2022). doi:10.1007/s00423-022-02456-1
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ISSN:
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DOI:
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Type of media:Miscellaneous
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Type of material:Electronic Resource
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Language:English
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Source: