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Fig. 4 | Journal of Translational Medicine

Fig. 4

From: A theoretical model of health management using data-driven decision-making: the future of precision medicine and health

Fig. 4

Concepts associated with reducing the likelihood of reoperation in a particular man (shown in colour: 75 years old, smoker, not active, no long-distance walking, BMI of 33). A representative example of a CDMT based on real-world data. Men and women are expected to undertake different physical activities. The edge (arrow) strength and its label correspond to the reduction of the risk of reoperation after adding a factor (percentage of how much the risk of reoperation would be reduced). The same holds for vertex labels with factors and the numbers of patients. Methods of reducing the likelihood of reoperation in this specific case are coloured light green, and the most effective method is shown in dark green. Positive factors were activity (Activity), long-distance walking (LongDistWalk), no smoking (NoSmoking), a BMI < 30 (lowBMI) and no positive factors present (NO COMMON FACTORS). The colour of the presented case changes (from red to orange then green) as the probability of reoperation decreases

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