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Fig. 2 | Applied Network Science

Fig. 2

From: Predicting onset of complications from diabetes: a graph based approach

Fig. 2

Above is an example of a patient network which contains demographic information, lab results, and diagnoses codes, for a patient who develops heart failure as a fast progressor. The most significant edges and nodes, as determined by the two-sided Z-test, marked in red, are used in patient risk calculation. Circles represent ICD diagnoses, hexagons demographic information, and squares clinical variables. Age and clinical variables had been quartiled such that 3.0 Age represents a patient whose age is in the top 75 percent of patients, and where 1.0 eGFR represents someone whose eGFR is between 25-50 percent when compared to the patient population

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