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Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction.
Chen, Michael L; Doddi, Akshith; Royer, Jimmy; Freschi, Luca; Schito, Marco; Ezewudo, Matthew; Kohane, Isaac S; Beam, Andrew; Farhat, Maha.
  • Chen ML; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America.
  • Doddi A; University of Virginia School of Medicine, Charlottesville, VA, United States of America.
  • Royer J; Analysis Group Inc., United States of America.
  • Freschi L; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America.
  • Schito M; Critical Path Institute, 1730 E River Rd., Tucson, AZ, United States of America.
  • Ezewudo M; Critical Path Institute, 1730 E River Rd., Tucson, AZ, United States of America.
  • Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America.
  • Beam A; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America.
  • Farhat M; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America; Division of Pulmonary & Critical Care, Massachusetts General Hospital, Boston, MA, United States of America. Electronic address: Maha_Farhat@hms.harvard.edu.
EBioMedicine ; 43: 356-369, 2019 May.
Article en En | MEDLINE | ID: mdl-31047860
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / Tuberculosis Resistente a Múltiples Medicamentos / Aprendizaje Automático / Mycobacterium tuberculosis Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Modelos Estadísticos / Tuberculosis Resistente a Múltiples Medicamentos / Aprendizaje Automático / Mycobacterium tuberculosis Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article