ASO Author Reflections: Could the Application of Machine Learning Enhance the Accuracy of Prognosis Estimation Using Serum Inflammatory Markers in Colorectal Cancer Patients?
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Surgery
Link
https://link.springer.com/content/pdf/10.1245/s10434-023-14154-3.pdf
Reference4 articles.
1. Lee SY, Lee SI, Min BW, Oh SC. Prognostic implication of systemic inflammatory markers in young patients with resectable colorectal cancer. Ann Surg Treat Res. 2021;100(1):25–32.
2. An S, Shim H, Kim K, et al. Pretreatment inflammatory markers predicting treatment outcomes in colorectal cancer. Ann Coloproctol. 2022;38(2):97–108.
3. Suzuki S, Akiyoshi T, Oba K, et al. Comprehensive comparative analysis of prognostic value of systemic inflammatory biomarkers for patients with stage II/III colon cancer. Ann Surg Oncol. 2020;27(3):844–52. https://doi.org/10.1245/s10434-019-07904-9.
4. Yang S, Jang H, Park IK, et al. Machine-learning algorithms using systemic inflammatory markers to predict the oncologic outcomes of colorectal cancer after surgery. Ann Surg Oncol. 2023. https://doi.org/10.1245/s10434-023-14136-5.
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