Towards the development of an error checker for radiotherapy treatment plans: a preliminary study.

@article{Azmandian2007TowardsTD,
  title={Towards the development of an error checker for radiotherapy treatment plans: a preliminary study.},
  author={Fatemeh Azmandian and David R. Kaeli and Jennifer G. Dy and Elizabeth Hutchinson and Marek A Ancukiewicz and Andrzej Niemierko and Steve B. Jiang},
  journal={Physics in medicine and biology},
  year={2007},
  volume={52 21},
  pages={6511-24}
}
Major accidents can happen during radiotherapy, with an extremely severe consequence to both patients and clinical professionals. We propose to use machine learning and data mining techniques to help detect large human errors in a radiotherapy treatment plan, as a complement to human inspection. One such technique is computer clustering. The basic idea of using clustering algorithms for outlier detection is to first cluster (based on the treatment parameters) a large number of patient treatment… CONTINUE READING

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