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Data analytics for enabling connected health

Data analytics for enabling connected health

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This chapter has shown that ML is a powerful method of identifying the activities of daily living. This has key implications for telehealth and Ambient Assisted Living in that the activities of a person at home can be monitored autonomously in order to provide a safe and secured environment.

Chapter Contents:

  • 9.1 Introduction
  • 9.1.1 Current situation
  • 9.1.2 The future of healthcare delivery
  • 9.2 Data analytics
  • 9.2.1 Machine learning
  • 9.3 Active daily living
  • 9.3.1 Algorithm
  • 9.3.2 Feature engineering
  • 9.3.3 Application of the ensemble method
  • 9.4 Results and analysis
  • 9.5 Conclusion
  • References

Inspec keywords: security; health and safety; data analysis

Other keywords: telehealth; data analytics; secured environment; safe environment; connected health; daily living; ambient assisted living

Subjects: Data handling techniques; Environmental aspects of computing; Economic, social and political aspects of computing

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