From Traditional Risk Factors to Machine Learning Models: Advancing the Prediction of Anastomotic Leak and Other Major Complications in Colorectal Cancer Surgery.
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| Title: | From Traditional Risk Factors to Machine Learning Models: Advancing the Prediction of Anastomotic Leak and Other Major Complications in Colorectal Cancer Surgery. |
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| Authors: | Tsokkou, Sophia1 (AUTHOR), Konstantinididis, Nikolaos1,2 (AUTHOR), Konstantinidis, Ioannis1,2 (AUTHOR), Papakonstantinou, Menelaos1,2 (AUTHOR), Alexandris, Filippos1 (AUTHOR), Tokou, Despina1 (AUTHOR), Kotsani, Konstantia1 (AUTHOR), Alexandrou, Dimitrios1 (AUTHOR), Giakoustidis, Dimitrios1 (AUTHOR), Giakoustidis, Alexandros1 (AUTHOR), Papadopoulos, Vasileios1 (AUTHOR), Bangeas, Petros1 (AUTHOR) pbangeas@gmail.com |
| Source: | Cancers. May2026, Vol. 18 Issue 10, p1668. 17p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 20726694 |
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| DOI: | 10.3390/cancers18101668 |
