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Fig. 3 | BMC Public Health

Fig. 3

From: A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population

Fig. 3

Nomogram for predicting the probability of HFHI in community setting. The first row (Points) indicates the points that are assigned to each variable's measurement from rows 2–35, which are the variables that are included in the risk model. The assigned points for all variables are then summed, and the total points is shown as the total score. Once the total score is located, draw a vertical line down to the bottom line to obtain the predicted probability of HFHI. The patient record shows a male with HFHI and the red triangle is the characteristics of this case and its corresponding predicted risk score

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