The Use of Big Data to Improve Human Health: How Experience From other Industries Will Shape the Future

Timothy E. Hewett, Greg Olsen, Mark Atkinson

Research output: Contribution to journalArticlepeer-review

Abstract

‘Data science’ represents a set of mathematical and software development related techniques that are applied across a wide range of problems and industries. Practitioners of data science in human health-related domains typically see a world that differs substantially from practitioners in other domains such as advertising, finance, e-commerce, manufacturing, or social networking. This commentary discusses what those differences are (Project vs Product Focus, Independent vs Integrated Efforts, Causality vs Prediction Driven, Statistical vs Machine Learning Centricity) why they exist, and the future convergence that we believe is on the horizon. The concepts discussed can provide a starting point in which health and human performance-focused stakeholders can begin to align well-established data science applications from other domains to further enable innovative health and performance solutions.

Original languageEnglish (US)
Pages (from-to)1590-1594
Number of pages5
JournalInternational Journal of Sports Physical Therapy
Volume16
Issue number6
DOIs
StatePublished - 2021

Keywords

  • Artificial Intelligence
  • Biometrics
  • Data Science
  • Health
  • Human Performance
  • Machine Learning
  • Medicine
  • Military
  • Occupational Health
  • Sport
  • Statistics
  • Technology

ASJC Scopus subject areas

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation
  • Orthopedics and Sports Medicine

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