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A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.
Goodman-Meza, David; Rudas, Akos; Chiang, Jeffrey N; Adamson, Paul C; Ebinger, Joseph; Sun, Nancy; Botting, Patrick; Fulcher, Jennifer A; Saab, Faysal G; Brook, Rachel; Eskin, Eleazar; An, Ulzee; Kordi, Misagh; Jew, Brandon; Balliu, Brunilda; Chen, Zeyuan; Hill, Brian L; Rahmani, Elior; Halperin, Eran; Manuel, Vladimir.
Afiliación
  • Goodman-Meza D; Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
  • Rudas A; Department of Computational Medicine, UCLA, Los Angeles, California, United States of America.
  • Chiang JN; Faculty of Informatics, Eötvös Loránd University (ELTE), Budapest, Hungary.
  • Adamson PC; Department of Computational Medicine, UCLA, Los Angeles, California, United States of America.
  • Ebinger J; Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
  • Sun N; Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  • Botting P; Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  • Fulcher JA; Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  • Saab FG; Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
  • Brook R; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
  • Eskin E; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
  • An U; Department of Computational Medicine, UCLA, Los Angeles, California, United States of America.
  • Kordi M; Department of Computer Science, UCLA, Los Angeles, California, United States of America.
  • Jew B; Department of Human Genetics, UCLA, Los Angeles, California, United States of America.
  • Balliu B; Department of Computer Science, UCLA, Los Angeles, California, United States of America.
  • Chen Z; Department of Computational Medicine, UCLA, Los Angeles, California, United States of America.
  • Hill BL; Department of Computational Medicine, UCLA, Los Angeles, California, United States of America.
  • Rahmani E; Department of Computational Medicine, UCLA, Los Angeles, California, United States of America.
  • Halperin E; Department of Computer Science, UCLA, Los Angeles, California, United States of America.
  • Manuel V; Department of Computer Science, UCLA, Los Angeles, California, United States of America.
PLoS One ; 15(9): e0239474, 2020.
Article en En | MEDLINE | ID: mdl-32960917
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Técnicas de Laboratorio Clínico / Aprendizaje Automático / Betacoronavirus / Pacientes Internos Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Límite: Adult / Aged / Humans / Middle aged País/Región como asunto: America do norte Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Técnicas de Laboratorio Clínico / Aprendizaje Automático / Betacoronavirus / Pacientes Internos Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Límite: Adult / Aged / Humans / Middle aged País/Región como asunto: America do norte Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos