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Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features.
Yang, Feng; Yu, Hang; Kantipudi, Karthik; Karki, Manohar; Kassim, Yasmin M; Rosenthal, Alex; Hurt, Darrell E; Yaniv, Ziv; Jaeger, Stefan.
Afiliación
  • Yang F; Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Yu H; Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Kantipudi K; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
  • Karki M; Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Kassim YM; Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Rosenthal A; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
  • Hurt DE; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
  • Yaniv Z; Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
  • Jaeger S; Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Quant Imaging Med Surg ; 12(1): 675-687, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34993110
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos