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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.
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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  Data: A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.
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  Data: <searchLink fieldCode="AU" term="%22Ashraf+Ganjouei+A%22">Ashraf Ganjouei A</searchLink>; Department of Surgery, University of California, San Francisco, California, USA.<br /><searchLink fieldCode="AU" term="%22Romero-Hernandez+F%22">Romero-Hernandez F</searchLink>; Department of Surgery, University of California, San Francisco, California, USA.<br /><searchLink fieldCode="AU" term="%22Wang+JJ%22">Wang JJ</searchLink>; Department of Surgery, University of California, San Francisco, California, USA.<br /><searchLink fieldCode="AU" term="%22Hamed+A%22">Hamed A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Alaa+A%22">Alaa A</searchLink>; University of California, Berkeley, California, USA.; University of California, San Francisco, California, USA.<br /><searchLink fieldCode="AU" term="%22Bartlett+D%22">Bartlett D</searchLink>; Department of Surgery, Allegheny Health Network, Pittsburgh, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Alseidi+A%22">Alseidi A</searchLink>; Division of Surgical Oncology, Department of Surgery, University of California, San Francisco, California, USA.<br /><searchLink fieldCode="AU" term="%22Choudry+MH%22">Choudry MH</searchLink>; Division of Surgical Oncology, Department of Surgery, UPMC Cancer Pavilion, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.<br /><searchLink fieldCode="AU" term="%22Adam+M%22">Adam M</searchLink>; Division of Surgical Oncology, Department of Surgery, University of California, San Francisco, California, USA.
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        Value: 10.1002/wjs.12184
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      – Code: eng
        Text: English
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      – TitleFull: A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.
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              Text: 2024 Jun
              Type: published
              Y: 2024
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