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@ -108,4 +108,43 @@ the actual target value. The overall validation error of the model is
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computed by aggregating the errors across the entire validation data set
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computed by aggregating the errors across the entire validation data set
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[@boehmke2020].
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[@boehmke2020].
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<!--# should I talk about Model types ?-->
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### Machine Learning in the Clinical Laboratory
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<!--# Can I copy this table? -->
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| Author and Year | **Objective and Machine Learning Task** | **Best Model** | **Major Themes** |
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|------------------|-----------------------------------------------------------------------------------------------------------------|----------------|------------------|
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Azarkhish (2012) |
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Predict iron deficiency anemia and serum iron levels from CBC indices |
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Neural Network |
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Prediction |
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Cao (2012) |
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Triage manual review for urinalysis samples |
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Tree-based | Automation |
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Yang (2013) |
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Predict normal reference ranges of ESR for various laboratories based on geographic and other clinical features |
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Neural Network |
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Interpretation |
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: Table 1. Summary of characteristics of machine learning algorithms
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[@rabbani2022].
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###
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####
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####
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