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Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model.
Levitsky, Adrian; Pernemalm, Maria; Bernhardson, Britt-Marie; Forshed, Jenny; Kölbeck, Karl; Olin, Maria; Henriksson, Roger; Lehtiö, Janne; Tishelman, Carol; Eriksson, Lars E.
Afiliação
  • Levitsky A; Division of Innovative Care Research, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, SE-171 77, Solna, Sweden.
  • Pernemalm M; Cancer Proteomics Mass Spectrometry, Department of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, SE-171 65, Solna, Sweden.
  • Bernhardson BM; Cancer Proteomics Mass Spectrometry, Department of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, SE-171 65, Solna, Sweden.
  • Forshed J; Division of Innovative Care Research, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, SE-171 77, Solna, Sweden.
  • Kölbeck K; Cancer Proteomics Mass Spectrometry, Department of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, SE-171 65, Solna, Sweden.
  • Olin M; Lung Oncology Center, Cancer Theme, Karolinska University Hospital, SE-171 76, Solna, Sweden.
  • Henriksson R; Lung Oncology Center, Cancer Theme, Karolinska University Hospital, SE-171 76, Solna, Sweden.
  • Lehtiö J; Department of Radiation Sciences and Oncology, University of Umeå, SE-901 87, Umeå, Sweden.
  • Tishelman C; Cancer Proteomics Mass Spectrometry, Department of Oncology-Pathology, Karolinska Institutet, Science for Life Laboratory, SE-171 65, Solna, Sweden.
  • Eriksson LE; Division of Innovative Care Research, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, SE-171 77, Solna, Sweden.
Sci Rep ; 9(1): 16504, 2019 11 11.
Article em En | MEDLINE | ID: mdl-31712735
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sensação / Avaliação de Sintomas / Aprendizado de Máquina / Neoplasias Pulmonares Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sensação / Avaliação de Sintomas / Aprendizado de Máquina / Neoplasias Pulmonares Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia