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Such complexity poses challenges to clinical decision\u2010making and the effective planning of end\u2010of\u2010life care in these patients. This study proposes the development of a novel intelligent clinical decision support system, designed to predict 1\u2010year mortality in COPD patients following an acute exacerbation. The system is constructed upon a database of over 500 patients, comprising demographic, clinical, and social variables. First, a feature selection process is conducted to identify the variables that possess the greatest predictive power. Based on these, the data for each patient are encapsulated in a pseudosymbol construct that represents and consolidates them. The construction of the pseudosymbol comprises two distinct steps: (1) transforming the variables into a sound composition and (2) generating the corresponding spectrogram, which constitutes a visual representation (i.e., an image). 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