Čájehuvvojit 1 - 13 oktiibuot 13 bohtosis ohcui Uğur Ejder (22683228)', ohcanáigi: 0,01s Aiddostahte ozu
  1. 1
    ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.

    ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction. Dahkki Uğur Ejder (22683228)

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  2. 2
    The accuracy score change matrix following model development.

    The accuracy score change matrix following model development. Dahkki Uğur Ejder (22683228)

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  3. 3
    The comparison of the accuracy score of the benchmark and the proposed models.

    The comparison of the accuracy score of the benchmark and the proposed models. Dahkki Uğur Ejder (22683228)

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  4. 4
    Top-performing model configuration and performance by algorithm type.

    Top-performing model configuration and performance by algorithm type. Dahkki Uğur Ejder (22683228)

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  5. 5
    The prediction accuracy of simple versus hybrid models.

    The prediction accuracy of simple versus hybrid models. Dahkki Uğur Ejder (22683228)

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  6. 6
    Flow diagram of the proposed model.

    Flow diagram of the proposed model. Dahkki Uğur Ejder (22683228)

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  7. 7
    The statistical description of the original data set of the patients (<i>n</i> = 162).

    The statistical description of the original data set of the patients (<i>n</i> = 162). Dahkki Uğur Ejder (22683228)

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  8. 8
    Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).

    Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). Dahkki Uğur Ejder (22683228)

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  9. 9
    The most effective active substances for subfertility treatment.

    The most effective active substances for subfertility treatment. Dahkki Uğur Ejder (22683228)

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  10. 10
    Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction.

    Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. Dahkki Uğur Ejder (22683228)

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  11. 11
    The list of parameters of the modified data set for machine learning (<i>n</i> = 162).

    The list of parameters of the modified data set for machine learning (<i>n</i> = 162). Dahkki Uğur Ejder (22683228)

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  12. 12
    Flow diagram of the conversion of drugs into active substances.

    Flow diagram of the conversion of drugs into active substances. Dahkki Uğur Ejder (22683228)

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  13. 13
    Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.

    Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction. Dahkki Uğur Ejder (22683228)

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