Abstract:Background:
Research has shown various influential factors, but a standard for different treatments has not yet been developed. We want to identify principle predictors in IVF/ICSI treatment success rate using a machine learning approach.
Methods:
We selected the well-known filter, embedded and wrapper methods for selecting features and applied them to the random forest model. In the first step, the best reduce dimension method is selected using hesitant fuzzy sets (HFS). Then, the principle predictors are o… Show more
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