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Construction of Machine Learning Models to Predict Changes in Immune Function Using Clinical Monitoring Indices in HIV/AIDS Patients After 9.9-Years of Antiretroviral Therapy in Yunnan, China.
Li, Bingxiang; Li, Mingyu; Song, Yu; Lu, Xiaoning; Liu, Dajin; He, Chenglu; Zhang, Ruixian; Wan, Xinrui; Zhang, Renning; Sun, Ming; Kuang, Yi-Qun; Li, Ya.
Afiliação
  • Li B; Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China.
  • Li M; Department of Laboratory Medicine, Yunnan Provincial Institute of Infectious Diseases, Kunming, China.
  • Song Y; Department of Laboratory Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Lu X; Yunnan Key Laboratory of Laboratory Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Liu D; Yunnan Innovation Team of Clinical Laboratory and Diagnosis, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • He C; Department of Gynecology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Zhang R; Department of Medical Records and Statistics, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Wan X; Department of Laboratory Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Zhang R; Yunnan Key Laboratory of Laboratory Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Sun M; Yunnan Innovation Team of Clinical Laboratory and Diagnosis, First Affiliated Hospital of Kunming Medical University, Kunming, China.
  • Kuang YQ; Department of Disease Control and Prevention, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
  • Li Y; Department of Laboratory Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Front Cell Infect Microbiol ; 12: 867737, 2022.
Article em En | MEDLINE | ID: mdl-35646738
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article