Diagnosis of neurosyphilis in HIV-negative patients with syphilis: development, validation, and clinical utility of a suite of machine learning models

BACKGROUND: The ability to accurately identify the absolute risk of neurosyphilis diagnosis for patients with syphilis would allow preventative and therapeutic interventions to be delivered to patients at high-risk, sparing patients at low-risk from unnecessary care. We aimed to develop, validate, a...

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Detalles Bibliográficos
Autores principales: Zou, Huachun, Lu, Zhen, Weng, Wenjia, Yang, Ligang, Yang, Luoyao, Leng, Xinying, Wang, Junfeng, Lin, Yi-Fan, Wu, Jiaxin, Fu, Leiwen, Zhang, Xiaohui, Li, Yuwei, Wang, Liuyuan, Wu, Xinsheng, Zhou, Xinyi, Tian, Tian, Huang, Lixia, Marra, Christina M., Yang, Bin, Yang, Tian-Ci, Ke, Wujian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393556/
https://www.ncbi.nlm.nih.gov/pubmed/37533423
http://dx.doi.org/10.1016/j.eclinm.2023.102080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393556/
https://www.ncbi.nlm.nih.gov/pubmed/37533423
http://dx.doi.org/10.1016/j.eclinm.2023.102080

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