Comprehensible evaluation of prognostic factors and prediction of wound healing

@article{RobnikSikonja2003ComprehensibleEO,
  title={Comprehensible evaluation of prognostic factors and prediction of wound healing},
  author={M. Robnik-Sikonja and D. Cukjati and I. Kononenko},
  journal={Artificial intelligence in medicine},
  year={2003},
  volume={29 1-2},
  pages={
          25-38
        }
}
  • M. Robnik-Sikonja, D. Cukjati, I. Kononenko
  • Published 2003
  • Computer Science, Medicine
  • Artificial intelligence in medicine
  • We analyzed the data of a controlled clinical study of the chronic wound healing acceleration as a result of electrical stimulation. The study involved a conventional conservative treatment, sham treatment, biphasic pulsed current, and direct current electrical stimulation. Data was collected over 10 years and suffices for an analysis with machine learning methods. So far, only a limited number of studies have investigated the wound and patient attributes which affect the chronic wound healing… CONTINUE READING
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