An Application of Inverse Reinforcement Learning to Medical Records of Diabetes Treatment

@inproceedings{Asoh2013AnAO,
  title={An Application of Inverse Reinforcement Learning to Medical Records of Diabetes Treatment},
  author={Hideki Asoh and M. Shiro and Shotaro Akaho and Toshihiro Kamishima},
  year={2013}
}
It is an important issue to utilize large amount of medical records which are being accumulated on medical information systems to improve the quality of medical treatment. The process of medical treatment can be considered as a sequential interaction process between doctors and patients. From this viewpoint, we have been modeling medical records using Markov decision processes (MDPs). Using our model, we can simulate the future of each patient and evaluate each treatment. In order to do so, the… CONTINUE READING

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