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Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning.
Ma, Pan; Liu, Ruixiang; Gu, Wenrui; Dai, Qing; Gan, Yu; Cen, Jing; Shang, Shenglan; Liu, Fang; Chen, Yongchuan.
Afiliação
  • Ma P; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
  • Liu R; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
  • Gu W; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
  • Dai Q; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
  • Gan Y; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
  • Cen J; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
  • Shang S; Department of Clinical Pharmacy, General Hospital of Central Theater Command of PLA, Wuhan, China.
  • Liu F; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
  • Chen Y; Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China.
Front Med (Lausanne) ; 9: 808969, 2022.
Article em En | MEDLINE | ID: mdl-35360734
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2022 Tipo de documento: Article