ASO Author Reflections: Could the Application of Machine Learning Enhance the Accuracy of Prognosis Estimation Using Serum Inflammatory Markers in Colorectal Cancer Patients?

被引：0
|
作者：
Kang, Jeonghyun [1 ]
机构：
[1] Yonsei Univ, Coll Med, Gangnam Severance Hosp, Dept Surg, Seoul, South Korea
来源：
ANNALS OF SURGICAL ONCOLOGY | 2023年 / 30卷 / 13期
基金：
新加坡国家研究基金会;
关键词：
D O I：
10.1245/s10434-023-14154-3
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
引用
收藏
页码：8522 / 8523
页数：2
相关论文
共 16 条
  • [1] ASO Author Reflections: Could the Application of Machine Learning Enhance the Accuracy of Prognosis Estimation Using Serum Inflammatory Markers in Colorectal Cancer Patients?
    Jeonghyun Kang
    Annals of Surgical Oncology, 2023, 30 : 8522 - 8523
  • [2] ASO Visual Abstract: Machine Learning Algorithms Using Systemic Inflammatory Markers for Predicting the Oncological Outcomes of Colorectal Cancer After Surgery
    Yang, Songsoo
    Jang, Hyosoon
    Park, In Kyu
    Lee, Hye Sun
    Lee, Kang Young
    Oh, Ga Eul
    Park, Chihyun
    Kang, Jeonghyun
    ANNALS OF SURGICAL ONCOLOGY, 2023, 30 (13) : 8760 - 8761
  • [3] ASO Visual Abstract: Machine Learning Algorithms Using Systemic Inflammatory Markers for Predicting the Oncological Outcomes of Colorectal Cancer After Surgery
    Songsoo Yang
    Hyosoon Jang
    In Kyu Park
    Hye Sun Lee
    Kang Young Lee
    Ga Eul Oh
    Chihyun Park
    Jeonghyun Kang
    Annals of Surgical Oncology, 2023, 30 : 8760 - 8761
  • [4] ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies
    Tsilimigras, Diamantis I.
    Mehta, Rittal
    Pawlik, Timothy M.
    ANNALS OF SURGICAL ONCOLOGY, 2020, 27 (04) : 1120 - 1121
  • [5] ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies
    Diamantis I. Tsilimigras
    Rittal Mehta
    Timothy M. Pawlik
    Annals of Surgical Oncology, 2020, 27 : 1120 - 1121
  • [6] ASO Author Reflections: Identification of Intrahepatic Cholangiocarcinoma Clusters Using Machine Learning Techniques: Should Patients be Treated Differently?
    Diamantis I. Tsilimigras
    Anghela Z. Paredes
    Timothy M. Pawlik
    Annals of Surgical Oncology, 2020, 27 : 5233 - 5234
  • [7] ASO Author Reflections: Identification of Intrahepatic Cholangiocarcinoma Clusters Using Machine Learning Techniques: Should Patients be Treated Differently?
    Tsilimigras, Diamantis I.
    Paredes, Anghela Z.
    Pawlik, Timothy M.
    ANNALS OF SURGICAL ONCOLOGY, 2020, 27 (13) : 5233 - 5234
  • [8] Enhancing the diagnostic accuracy of colorectal cancer through the integration of serum tumor markers and hematological indicators with machine learning algorithms
    Xu, Rongxuan
    Chi, Huimin
    Zhang, Qian
    Li, Xiaofeng
    Hong, Zhijun
    CLINICAL & TRANSLATIONAL ONCOLOGY, 2025, 27 (01): : 299 - 308
  • [9] Machine learning application identifies plasma markers for proteinuria in metastatic colorectal cancer patients treated with Bevacizumab
    Yu, Zhuoyuan
    Xu, Haifan
    Feng, Miao
    Chen, Liqun
    CANCER CHEMOTHERAPY AND PHARMACOLOGY, 2024, 93 (06) : 587 - 593
  • [10] ASO Author Reflections: Development and Validation of a Novel Risk Score Using Machine-Learning Methodology to Predict Recurrence After Hepatectomy for Colorectal Liver Metastases
    Anghela Z. Paredes
    Diamantis I. Tsilimigras
    Timothy M. Pawlik
    Annals of Surgical Oncology, 2020, 27 : 5148 - 5149
12