A Pressure ulcer (PU) occurs in a significant amount of patients that must remain in bed without movements for long periods. Data from patient concerning both their individual features and wound origin are collected. PU images and medical diagnosis about PU grade can be stored. Such sets of information can be submitted to data mining procedures in order to be detected some relations between data. Is seems to be also possible computationally to generate a PU grade inference that will help medical experts to accomplish therapeutic procedures. Present proposal aims so to support PU diagnosis process and so to accelerate healing process towards important benefits for a better patient life quality with lower medical assistance costs.
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