As claimed by Yao, this algorithm has been proven to give 36% precise results as compared to those that require age as predicting determinant to investigate the chances of fertility. As per study, about 42% of women trying out the test have been analyzed to have 45% chances of fertility via IVF algorithm. The results highly varied from the age based algorithm that used to give 0% chances for the same respondents.
The algorithm requires some determinants to be processed for the final evaluation such as body mass index, smoking history and other critical factors related to fertility issues. Moreover, it requires entering blood samples and semen tests by the users to give out more precise results.
Univfy intends to sell this algorithm on a large scale so that majority of women can make the most of this machine-based learning algorithm. As stated by Yao, IVF has been proven to be effective treatment however; it has still not shown to be utilized fully by the people. There are estimated to be seven million women in US experiencing infertility and only 150,000 IVF iterations have been performed each year.
Hopefully, IVF algorithm for predicting fertility chances for women would be acclaimed for its services in the way as Yao expects it to be.
