Prognostic insights after surgery for advances in understanding signet ring cell gastric cancer: a machine learning approach.

Journal: Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
PMID: 39368648

Abstract

BACKGROUND: Signet ring cell (SRC) gastric carcinoma is traditionally associated with a poor prognosis. However, the literature has presented contradictory results. Linear models are the standard statistical tools typically used to study these conditions. However, machine learning (ML) models have the potential to replace or even outperform linear models in terms of predictive performance.

Authors

  • María Del Carmen Fernández-Moreno
    Upper Gastrointestinal and Peritoneal Oncology Surgery Unit, Department of General Surgery, Universitat de Valencia, Valencia, Spain.
  • María Eugenia Barrios-Carvajal
    Upper Gastrointestinal and Peritoneal Oncology Surgery Unit, Department of General Surgery, Universitat de Valencia, Valencia, Spain.
  • Roberto Martí-Obiol
    Upper Gastrointestinal and Peritoneal Oncology Surgery Unit, Department of General Surgery, Universitat de Valencia, Valencia, Spain.
  • Ricardo Gadea-Mateo
    Upper Gastrointestinal and Peritoneal Oncology Surgery Unit, Department of General Surgery, Universitat de Valencia, Valencia, Spain.
  • Jose Martín-Arévalo
    Colorectal Surgery Unit, Department of General Surgery, Universitat de Valencia, Valencia, Spain; Investigation Quality Committee, Clinic University Hospital, Universitat de Valencia, Valencia, Spain.
  • Fernando López-Mozos
    Upper Gastrointestinal and Peritoneal Oncology Surgery Unit, Department of General Surgery, Universitat de Valencia, Valencia, Spain; Investigation Quality Committee, Clinic University Hospital, Universitat de Valencia, Valencia, Spain. Electronic address: fernando.lopez-mozos@uv.es.

Keywords

External Resources

Popular Topics
Recent Journals