publication . Article . 2016

Methodology for Designing Models Predicting Success of Infertility Treatment

Alireza Zarinara; Mohammad Mahdi Akhondi; Hojjat Zeraati; Koorsh Kamali; Kazem Mohammad;
Open Access Persian
  • Published: 01 Sep 2016 Journal: Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Arāk, volume 19, issue 6, pages 46-56 (issn: 1735-5338, Copyright policy)
  • Publisher: Arak Medical University
Abstract Background: The prediction models for infertility treatment success have presented since 25 years ago. There are scientific principles for designing and applying the prediction models that is also used to predict the success rate of infertility treatment. The purpose of this study is to provide basic principles for designing the model to predic infertility treatment success. Materials and Methods: In this paper, the principles for developing predictive models are explained and then the design of such models in infertility treatments is described in more details by explaining one sample. Results: The important principles for models that firstly are descr...
free text keywords: Predictive model, Infertility treatment, Treatment success., lcsh:Medicine, lcsh:R, lcsh:Medicine (General), lcsh:R5-920
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22. Zarinara A, Zeraati H, Kamali K, Mohammad K, Shahnazari P, Akhondi MM. Models predicting success of infertility treatment: A systematic review. Journal of Reproduction & Infertility. 2016;17(2):68.

23. McGinn T, Guyatt G, Wyer P, Naylor C, Stiell I, Richardson W. Users' Guides to the Medical Literature: How to Use Articles About Clinical Decision Rules. Tehran University Medical Journal. 2000;63(10):836-50. eng %@ 1683-1764 %[ 2005. [OpenAIRE]

24. Yealy DM, Auble TE. Choosing between clinical predicting rules. The New England Journal of Medicine. 2003;349(26).

25. van der Steeg JW, Steures P, Eijkemans MJ, Habbema JD, Bossuyt PM, Hompes PG, et al. Do clinical prediction models improve concordance of treatment decisions in reproductive medicine? BJOG. 2006 Jul;113(7):825-31. PubMed PMID: 16827767.

26.Veltman-Verhulst SM, Fauser BC, Eijkemans MJ. High singleton live birth rate confirmed after ovulation induction in women with anovulatory polycystic ovary syndrome: validation of a prediction model for clinical practice. Fertility and sterility. 2012;98(3):761- 8. e1.

27. Custers IM, Steures P, van der Steeg JW, van Dessel TJ, Bernardus RE, Bourdrez P, et al. External validation of a prediction model for an ongoing pregnancy IUI. Fertility and Sterility. 2007;88(2):425.

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