Research Article
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Article title
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Abstract
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Keywords
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Introduction
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Methodology
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Data description
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Data enhancement and processing
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Workflow
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Pre-processing of data
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Modeling
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Model training
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Proposed ML method
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DTR
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GBR
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RFR
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ETR
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LASSO
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SVM
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DL
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Model interpretation
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Results
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Database
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Choosing features and developing the final model
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Feature selection of input variables based on scaled importance
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Model interpretation
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Discussion
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Conclusion
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References
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