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Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study.

Marcin StraczkiewiczNancy L KeatingEmbree ThompsonUrsula A MatulonisSusana M CamposAlexi A WrightJukka-Pekka Onnela
Published in: JMIR cancer (2023)
This study demonstrates that our open-source, step-counting method for smartphone data provides reliable step counts across sensor locations, measurement scenarios, and populations, including healthy adults and patients with cancer.
Keyphrases
  • machine learning
  • electronic health record
  • deep learning
  • big data
  • neural network
  • genetic diversity