Reinforcement learning for intelligent healthcare applications: A survey

Highlights：

• Survey of the applications of Reinforcement Learning (RL) in healthcare domains.

• Identification of seven categories with respect to the most relevant field of applications of RL approaches in medicine.

• A brief discussion to highlight some considerations that can be taken in account when new prediction models get defined in the field of precision medicine.

• Analysis of the distribution of the surveyed solutions with respect to their category, adopted Reinforcement Learning approaches, their impact in terms of citations, and publication year.

• Group the healthcare domains in seven classes of application and for each one stating an overview of the application of Reinforcement-Learning-based approach.