FCTA, Nordica Intensify Efforts To Promote Reproductive Health
5 Articles
5 Articles
A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data - Reproductive Biology and Endocrinology
To construct prediction models based on the Bayesian network (BN) learning method for the probability of fertilization failure (including low fertilization rate [LRF] and total fertilization failure [TFF]) in assisted reproductive technology (ART) treatment. A BN model was developed to predict TFF/LFR. The model showed relatively high calibration in external validation, which could facilitate the identification of risk factors for fertilization …
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