Evaluation of Combined Cancer Markers With Lactate Dehydrogenase and Application of Machine Learning Algorithms for Differentiating Benign Disease From Malignant Ovarian Cancer.

Journal: Cancer control : journal of the Moffitt Cancer Center
PMID: 34923833

Abstract

BACKGROUND: The differential diagnosis of ovarian cancer is important, and there has been ongoing research to identify biomarkers with higher performance. This study aimed to evaluate the diagnostic utility of combinations of cancer markers classified by machine learning algorithms in patients with early stage ovarian cancer, which has rarely been reported.

Authors

  • Seri Jeong
    Department of Laboratory Medicine, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
  • Dae-Soon Son
    School of Big Data Science, Data Science Convergence Research Center, 26727Hallym University, Chuncheon-si, Gangwon-do, South Korea.
  • Minseob Cho
    School of Big Data Science, Data Science Convergence Research Center, 26727Hallym University, Chuncheon-si, Gangwon-do, South Korea.
  • Nuri Lee
    Department of Laboratory Medicine, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
  • Wonkeun Song
    Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
  • Saeam Shin
    Department of Laboratory Medicine, 37991Yonsei University College of Medicine, Seoul, South Korea.
  • Sung-Ho Park
    Department of Obstetrics and Gynecology, Hallym University Kangnam Sacred Heart Hospital, 1, Shingil-ro, Yeongdeungpo-gu, Seoul, 07441, Republic of Korea.
  • Dong Jin Lee
    Department of Otolaryngology-Head and Neck Surgery, Research Center of Artificial Intelligence, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.
  • Min-Jeong Park
    Department of Laboratory Medicine, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, South Korea.

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