A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions.

@article{Hassouni2020ACR,
  title={A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions.},
  author={Ali el Hassouni and Mark Hoogendoorn and Martijn van Otterlo and Agoston E. Eiben and Vesa Muhonen and Eduardo Barbaro},
  journal={arXiv: Artificial Intelligence},
  year={2020}
}
  • Ali el Hassouni, Mark Hoogendoorn, +3 authors Eduardo Barbaro
  • Published 2020
  • Computer Science
  • arXiv: Artificial Intelligence
  • Personalization is very powerful in improving the effectiveness of health interventions. Reinforcement learning (RL) algorithms are suitable for learning these tailored interventions from sequential data collected about individuals. However, learning can be very fragile. The time to learn intervention policies is limited as disengagement from the user can occur quickly. Also, in e-Health intervention timing can be crucial before the optimal window passes. We present an approach that learns… CONTINUE READING

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