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Increasing the Density of Laboratory Measures for Machine Learning Applications.
Abedi, Vida; Li, Jiang; Shivakumar, Manu K; Avula, Venkatesh; Chaudhary, Durgesh P; Shellenberger, Matthew J; Khara, Harshit S; Zhang, Yanfei; Lee, Ming Ta Michael; Wolk, Donna M; Yeasin, Mohammed; Hontecillas, Raquel; Bassaganya-Riera, Josep; Zand, Ramin.
Afiliação
  • Abedi V; Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA 17822, USA.
  • Li J; NIMML Institute, Blacksburg, VA 24060, USA.
  • Shivakumar MK; Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA 17822, USA.
  • Avula V; Geisinger Medical Center, Biomedical Translational Informatics Institute, Danville, PA 17822, USA.
  • Chaudhary DP; Department of Molecular and Functional Genomics, Geisinger Health System, Danville, PA 17822, USA.
  • Shellenberger MJ; Geisinger Medical Center, Neuroscience Institute, Danville, PA 17822, USA.
  • Khara HS; Geisinger Medical Center, Department of Gastroenterology and Hepatology, Danville, PA 17822, USA.
  • Zhang Y; Geisinger Medical Center, Department of Gastroenterology and Hepatology, Danville, PA 17822, USA.
  • Lee MTM; Geisinger Medical Center, Genomic Medicine Institute, Danville, PA 17822, USA.
  • Wolk DM; Geisinger Medical Center, Genomic Medicine Institute, Danville, PA 17822, USA.
  • Yeasin M; Molecular and Microbial Diagnostics and Development, Geisinger Medical Center, Danville, PA 17822, USA.
  • Hontecillas R; Department of Electrical and Computer Engineering, Memphis University, Memphis, TN 38152, USA.
  • Bassaganya-Riera J; NIMML Institute, Blacksburg, VA 24060, USA.
  • Zand R; BioTherapeutics, Inc., Blacksburg, VA 24060, USA.
J Clin Med ; 10(1)2020 Dec 30.
Article em En | MEDLINE | ID: mdl-33396741

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Clin Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos