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Supplementary figure 4 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning

Year: 2023

Type: supplementary-materials

Abstract: Prognosis prediction by machine learning classifier in the k-fold CV test. Cox proportional hazard regression analysis for the comparison between the positive and negative groups selected by each classifier. Red solid line: predicted high-risk group (positive), blue line: other groups (negative). (A) 3-fold cross-validation test. (B) 4-fold cross-validation test. The insets show p-value (p) and hazard ratio (HR) of each test.

DOI: 10.1158/1078-0432.22471668

Authors: Seiya Yokoyama, Taiji Hamada, Michiyo Higashi, Kei Matsuo, Kosei Maemura, Hiroshi Kurahara, Michiko Horinouchi, Tsubasa Hiraki, Tomoyuki Sugimoto, Toshiaki Akahane, Suguru Yonezawa, Marko Kornmann, Surinder K. Batra, Michael A. Hollingsworth, Akihide Tanimoto

Language: English

Topic: Pancreatic and Hepatic Oncology Research

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W4362407133

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