Machine learning based prediction models in male reproductive health: Development of a proof‐of‐concept model for Klinefelter Syndrome in azoospermic patients-Reference-Cited by-同舟云学术

Machine learning based prediction models in male reproductive health: Development of a proof‐of‐concept model for Klinefelter Syndrome in azoospermic patients

Published:2022-01-10 Issue:3 Volume:10 Page:534-544
ISSN:2047-2919
Container-title:Andrology
language:en
Short-container-title:Andrology

Author:

Krenz Henrike¹,Sansone Andrea²³^ORCID,Fujarski Michael¹,Krallmann Claudia²,Zitzmann Michael²^ORCID,Dugas Martin⁴,Kliesch Sabine²,Varghese Julian¹,Tüttelmann Frank⁵^ORCID,Gromoll Jörg²

Affiliation:

1. Institute of Medical Informatics University of Münster Münster Germany

2. Centre of Reproductive Medicine and Andrology University Hospital Münster Münster Germany

3. Chair of Endocrinology and Sexual Medicine (ENDOSEX) Department of Systems Medicine University of Rome Tor Vergata Rome Italy

4. Institute of Medical Informatics Heidelberg University Hospital Heidelberg Germany

5. Institute of Reproductive Genetics University of Münster Münster Germany

Publisher

Wiley

Subject

Urology,Endocrinology,Reproductive Medicine,Endocrinology, Diabetes and Metabolism

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/andr.13141

Reference40 articles.

1. Machine Learning in Medicine

2. Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018

3. Artificial Intelligence in Reproductive Urology

4. Hormonal Treatment of Male Infertility: Gonadotropins and Beyond

5. Seminal quality prediction using data mining methods

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