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A Hybrid Feature Ranking Algorithm for Assisted Reproductive Technology Outcome Prediction
Brazilian Archives of Biology and Technology
In recent years, the emerging technology of machine learning has made vast strides in medicine. Machine learning-based clinical decision support systems assist doctors make efficient diagnoses and offer better prescriptions. Today, one of the greatest challenges for doctors worldwide is the treatment of infertility, with even the most sophisticated technology offering limited success. Currently, the Assisted Reproductive Technology (ART) in use is highly sophisticated technology that offers adoi:10.1590/1678-4324-2022210605 fatcat:fgvrs5y3wrdvfb434nqodatoyu