  This paper explores optimal service resource management strategy, a
continuous challenge for health information service to enhance service
performance, optimise service resource utilisation and deliver interactive
health information service. An adaptive optimal service resource management
strategy was developed considering a value co-creation model in health
information service with a focus on collaborative and interactive with users.
The deep reinforcement learning algorithm was embedded in the Internet of
Things (IoT)-based health information service system (I-HISS) to allocate
service resources by controlling service provision and service adaptation based
on user engagement behaviour. The simulation experiments were conducted to
evaluate the significance of the proposed algorithm under different user
reactions to the health information service.
