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Prediction of Diabetic Foot Ulceration: The Value of Using Microclimate Sensor Arrays.

Petra J JonesRichard BibbMelanie DaviesKamlesh KhuntiMatthew McCarthyDavid WebbFrancesco Zaccardi
Published in: Journal of diabetes science and technology (2019)
Very limited evidence supports the use of single clinical parameters in predicting the risk of DFU. We suggest that the microclimate as a whole should be considered to predict DFU more effectively and suggest nine specific features which appear to be implicated for further investigation. Technology supports real-time in-shoe data collection and wireless transmission, providing a potentially rich source of data to better predict the risk of DFU.
Keyphrases
  • electronic health record
  • big data
  • machine learning