Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach

@article{Bennett2013ArtificialIF,
  title={Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach},
  author={Casey C. Bennett and Kris K. Hauser},
  journal={Artificial intelligence in medicine},
  year={2013},
  volume={57 1},
  pages={9-19}
}
OBJECTIVE In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop a general purpose (non-disease-specific) computational/artificial intelligence (AI) framework to address these challenges. This framework serves two potential functions: (1) a simulation… CONTINUE READING
Highly Cited
This paper has 124 citations. REVIEW CITATIONS
Related Discussions
This paper has been referenced on Twitter 19 times. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-10 of 48 extracted citations

124 Citations

02040'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 124 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 44 references

J

C. C. Bennett, T. W. Doub, A. D. Bragg, J. Luellen, C. Van Regenmorter
Lockman, et al., Data Mining Session-Based Patient Reported Outcomes (PROs) in a Mental Health Setting: Toward Data-Driven Clinical Decision Support and Personalized Treatment, IEEE Health Informatics, Imaging, and Systems Biology Conference, (IEEE, San Jose, CA, 2011) 229-236. http://arxiv.org/abs/ • 2012
View 5 Excerpts
Highly Influenced

Markov decision processes: a tool for sequential decision making under uncertainty.

Medical decision making : an international journal of the Society for Medical Decision Making • 2010
View 6 Excerpts
Highly Influenced

et al

M. Brown, E. Bowring, +3 authors P. Mallick
Applying Multi-Agent Techniques to Cancer Modeling, Proceedings of the 6 th Annual Workshop on Multiagent Sequential Decision Making in Uncertain Domains (MSDM), • 2011
View 1 Excerpt

Similar Papers

Loading similar papers…