Development and validation of a support vector machine-based nomogram for diagnosis of obstetric antiphospholipid syndrome.

Journal: Clinica chimica acta; international journal of clinical chemistry
PMID: 39765286

Abstract

BACKGROUND: Antiphospholipid Syndrome (APS) is a systemic autoimmune disorder characterized by arterial or venous thrombosis and/or pregnancy complications. This study aims to develop a diagnostic model for Obstetric APS (OAPS) using the Support Vector Machine (SVM) algorithm.

Authors

  • Xuan Qi
    School of Petroleum Engineering, China University of Petroleum, Beijing 102249, China. 2017212184@student.cup.edu.cn.
  • Yan Han
    Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang, Hangzhou 310027, China; Institute of Microelectronics and Nanoelectronics, Zhejiang University, Hangzhou 310027, China. Electronic address: hany@zju.edu.cn.
  • Yue Zhang
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Nianqiang Ma
    Department of Emergency, The Fourth Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, PR China.
  • Zhifeng Liu
    Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing 100022, China.
  • Jiajia Zhai
    Department of Fertility, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, PR China.
  • Huifang Guo
    Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, China.

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