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Table 1.

Variable selection of deterioration prediction model for concrete beam bridge.

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Table 2.

Number of bridges used in different studies.

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Fig 1.

Prediction model of deterioration state of concrete slab bridge.

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Table 3.

Variable types and roles.

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Table 4.

Confusion matrix.

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Table 5.

Evaluation results of ML prediction model for concrete beam bridge.

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Fig 2.

Optimal path of bridge inspection based on prediction of bridge deterioration.

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Fig 2 Expand

Table 6.

Importance of input variables in DT model of concrete beam bridge.

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Table 7.

Summary of P values from the Mann‐Whitney U test.

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Table 8.

Chi-square and Cramer’s V test results.

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Fig 3.

Current highway bridge inspection scheduling process.

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Fig 4.

Improved highway bridge inspection scheduling process.

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Table 9.

The prediction results of DT model.

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Table 10.

Chi-square and Cramer’s V test results between adjacent asset conditions.

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Table 10 Expand

Table 11.

Example of concrete beam bridge having co-existing deteriorations.

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Table 11 Expand