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    Diagnosis of neurosyphilis in HIV-negative patients with syphilis: development, validation, and clinical utility of a suite of machine learning modelsResearch in context by Huachun Zou, Zhen Lu, Wenjia Weng, Ligang Yang, Luoyao Yang, Xinying Leng, Junfeng Wang, Yi-Fan Lin, Jiaxin Wu, Leiwen Fu, Xiaohui Zhang, Yuwei Li, Liuyuan Wang, Xinsheng Wu, Xinyi Zhou, Tian Tian, Lixia Huang, Christina M. Marra, Bin Yang, Tian-Ci Yang, Wujian Ke

    Published 2023-08-01
    “…We developed and validated machine learning models with a uniform set of predictors based on six authoritative diagnostic guidelines across four continents to predict neurosyphilis using routinely collected data from real-world clinical practice in China and the United States (through the Dermatology Hospital of Southern Medical University in Guangzhou [659 recruited between August 2012 and March 2022, treated as Development cohort], the Beijing Youan Hospital of Capital Medical University in Beijng [480 recruited between December 2013 and April 2021, treated as External cohort 1], the Zhongshan Hospital of Xiamen University in Xiamen [493 recruited between November 2005 and November 2021, treated as External cohort 2] from China, and University of Washington School of Medicine in Seattle [16 recruited between September 2002 and April 2014, treated as External cohort 3] from United States). …”
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