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Predicting the amputation risk for patients with diabetic foot ulceration - a Bayesian decision support tool.

Jens HüsersGuido HaferJan HeggemannStefan WiemeyerSwen Malte JohnUrsula Hertha Hübner
Published in: BMC medical informatics and decision making (2020)
Both of the Bayesian amputation risk models showed acceptable prognostic values, and the major-amputation model benefitted from incorporating a priori information from a previous study. Thus, PEDIS serves as a valid foundation for a clinical decision support tool for the prediction of the amputation risk in DFU patients. Furthermore, we demonstrated the use of the available prior scientific information within a Bayesian framework to establish chains of knowledge.
Keyphrases
  • lower limb
  • clinical decision support
  • end stage renal disease
  • peripheral artery disease
  • healthcare
  • newly diagnosed
  • chronic kidney disease
  • ejection fraction
  • health information
  • social media
  • peritoneal dialysis