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).

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

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Detalles Bibliográficos
Autor Principal: Uğur Ejder (22683228) (author)
Outros autores: Pınar Uskaner Hepsağ (22683231) (author)
Publicado: 2025
Subjects:
Biotechnology
Ecology
Cancer
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
small sample size
lr &# 8211
evaluated using 5
assisted reproductive technologies
artificial bee colony
art ), yet
address class imbalance
support vector machine
pharmaceutical supplement use
enhance predictive performance
abc hybrids outperformed
abc hybrid counterparts
local interpretable model
abc hybrid model
model performance
supplement variables
producing interpretable
dietician support
vitro fertilization
synthetic minority
studies rely
sampling technique
retrospective dataset
regression tree
random forest
observed improvements
nearest neighbors
limited optimization
influential features
individual predictions
improving prediction
implemented alongside
future studies
four algorithms
folic acid
fold cross
exploratory rather
dietary data
conventional algorithms
concept study
clinically directive
binary representation
baseline models
algorithm models
agnostic explanations
accuracy ).
21 predictors
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