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Machine Learning Techniques for Antimicrobial Resistance Prediction of Pseudomonas Aeruginosa from Whole Genome Sequence Data.
Noman, Sohail M; Zeeshan, Muhammad; Arshad, Jehangir; Deressa Amentie, Melkamu; Shafiq, Muhammad; Yuan, Yumeng; Zeng, Mi; Li, Xin; Xie, Qingdong; Jiao, Xiaoyang.
Afiliação
  • Noman SM; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, China.
  • Zeeshan M; Department of Medicine and Surgery, Al-Nafees Medical College and Hospital, Isra University, Islamabad 44000, Pakistan.
  • Arshad J; Department of Electrical and Computer Engineering, Comsats University Islamabad, Lahore Campus 44000, Lahore, Pakistan.
  • Deressa Amentie M; Department of Information Technology, Assosa University, Assosa 5220, Ethiopia.
  • Shafiq M; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, China.
  • Yuan Y; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, China.
  • Zeng M; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, China.
  • Li X; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, China.
  • Xie Q; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, China.
  • Jiao X; Department of Cell Biology and Genetics, Shantou University Medical College, Shantou, Guangdong 515041, China.
Comput Intell Neurosci ; 2023: 5236168, 2023.
Article em En | MEDLINE | ID: mdl-36909968
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Anti-Infecciosos / Antibacterianos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Anti-Infecciosos / Antibacterianos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article