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SciKit digital health package for accelerometry-measured physical activity: comparisons to existing solutions and investigations of age effects in healthy adults.
Lin, Wenyi; Karahanoglu, F Isik; Demanuele, Charmaine; Khan, Sheraz; Cai, Xuemei; Santamaria, Mar; Di, Junrui; Adamowicz, Lukas.
Afiliação
  • Lin W; AI/ML Quantitative and Digital Sciences, Global Biometrics and Data Management, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
  • Karahanoglu FI; AI/ML Quantitative and Digital Sciences, Global Biometrics and Data Management, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
  • Demanuele C; AI/ML Quantitative and Digital Sciences, Global Biometrics and Data Management, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
  • Khan S; AI/ML Quantitative and Digital Sciences, Global Biometrics and Data Management, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
  • Cai X; Digital Sciences & Translational Imaging, Early Clinical Development, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
  • Santamaria M; Digital Sciences & Translational Imaging, Early Clinical Development, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
  • Di J; AI/ML Quantitative and Digital Sciences, Global Biometrics and Data Management, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
  • Adamowicz L; AI/ML Quantitative and Digital Sciences, Global Biometrics and Data Management, Pfizer Research and Development, Pfizer Inc, Cambridge, MA, United States.
Front Digit Health ; 5: 1321086, 2023.
Article em En | MEDLINE | ID: mdl-38090655
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Digit Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Digit Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos