A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.
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| Title: | A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. |
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| Authors: | Ashraf Ganjouei A; Department of Surgery, University of California, San Francisco, California, USA., Romero-Hernandez F; Department of Surgery, University of California, San Francisco, California, USA., Wang JJ; Department of Surgery, University of California, San Francisco, California, USA., Hamed A; Division of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.; Department of Surgery, University of Illinois at Chicago College of Medicine, Chicago, Illinois, USA., Alaa A; University of California, Berkeley, California, USA.; University of California, San Francisco, California, USA., Bartlett D; Department of Surgery, Allegheny Health Network, Pittsburgh, Pennsylvania, USA., Alseidi A; Division of Surgical Oncology, Department of Surgery, University of California, San Francisco, California, USA., Choudry MH; Division of Surgical Oncology, Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA., Adam M; Division of Surgical Oncology, Department of Surgery, University of California, San Francisco, California, USA. |
| Source: | World journal of surgery [World J Surg] 2024 Jun; Vol. 48 (6), pp. 1404-1413. Date of Electronic Publication: 2024 Apr 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 7704052 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2323 (Electronic) Linking ISSN: 03642313 NLM ISO Abbreviation: World J Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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