Evidence-based medicine and a model for an algorithm to choose the best hormonal contraceptive


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Objective. To carry out a systematic analysis of the data that may predict the tolerability of various hormonal contraceptives in order to elaborate an algorithm to choose the best hormonal contraceptive. Material and methods. A meta-analysis of literature data on the tolerability of hormonal contraceptives was made. Results. A computerized MyContraception algorithm to choose hormonal contraception and a specific contraceptive was elaborated using a mathematical model of multivariate analysis of their tolerability, acceptability, and side-effectprofile. Conclusion. It is necessary to accumulate a knowledge base using the recipient-application feedback that will be able to dynamically improve the mathematical algorithm with consideration for information accumulation, as well as the possibility of complementing novel hormone-containing contraceptives to the knowledge base.

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作者简介

N. Rukhlyada

I.I. Dzhanelidze Saint Petersburg Research Institute of Emergence Care

Email: nickolasr@mail.ru
MD, PhD, professor, head of the gynecology clinic

参考

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