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

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

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

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

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

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The concentration of elements analyzed for each MELs. S1: Chulluncane, S2: Cercana, S3: Tutupaca, S4; Yucamane, S5: Cano, S6: Reference site (Native soil). di César Julio Cáceda Quiroz (22683324)

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

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

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Concentration of Potentially Toxic Elements (mg/kg) in the environmental liabilities. di César Julio Cáceda Quiroz (22683324)

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Spearman rank order correlation for selected parameters analyzed in soil samples from mining environmental liabilities. di César Julio Cáceda Quiroz (22683324)

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SPIRIT schedule of enrollment, interventions, and assessment. di Kim Christin Honselmann (21176936)

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The study includes the Geoaccumulation Index of environmental liabilities. di César Julio Cáceda Quiroz (22683324)

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Concentrations of Heavy Metals in Soils from Mining Environmental Liabilities and Native Soils. di César Julio Cáceda Quiroz (22683324)

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Characterization of environmental liabilities. di César Julio Cáceda Quiroz (22683324)

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