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Machine learning for detection of lymphedema among breast cancer survivors.
Fu, Mei R; Wang, Yao; Li, Chenge; Qiu, Zeyuan; Axelrod, Deborah; Guth, Amber A; Scagliola, Joan; Conley, Yvette; Aouizerat, Bradley E; Qiu, Jeanna M; Yu, Gary; Van Cleave, Janet H; Haber, Judith; Cheung, Ying Kuen.
Afiliación
  • Fu MR; Rory Meyers College of Nursing, Tandon School of Engineering of NYU, New York University, New York, NY, USA.
  • Wang Y; Electrical and Computer Engineering, Tandon School of Engineering of NYU, New York University, New York, NY, USA.
  • Li C; Electrical and Computer Engineering, Tandon School of Engineering of NYU, New York University, New York, NY, USA.
  • Qiu Z; Department of Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, NJ, USA.
  • Axelrod D; Department of Surgery, New York University School of Medicine, New York, NY, USA.
  • Guth AA; NYU Perlmutter Cancer Center, New York, NY, USA.
  • Scagliola J; Department of Surgery, New York University School of Medicine, New York, NY, USA.
  • Conley Y; NYU Perlmutter Cancer Center, New York, NY, USA.
  • Aouizerat BE; NYU Perlmutter Cancer Center, New York, NY, USA.
  • Qiu JM; School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
  • Yu G; Bluestone Center for Clinical Research, Department of Oral and Maxillofacial Surgery, College of Dentistry, New York University, New York, NY, USA.
  • Van Cleave JH; Chemical and Physical Biology Concentration, Harvard University, Cambridge, MA, USA.
  • Haber J; Rory Meyers College of Nursing, Tandon School of Engineering of NYU, New York University, New York, NY, USA.
  • Cheung YK; Rory Meyers College of Nursing, Tandon School of Engineering of NYU, New York University, New York, NY, USA.
Mhealth ; 4: 17, 2018.
Article en En | MEDLINE | ID: mdl-29963562

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Mhealth Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Mhealth Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos
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