Artificial neural networks for assessing the risk factors for urinary calcium stones according to gender and family history of stone-Reference-Cited by-同舟云学术

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Artificial neural networks for assessing the risk factors for urinary calcium stones according to gender and family history of stone

Published:2007-01-01 Issue:5 Volume:41 Page:414-418
ISSN:0036-5599
Container-title:Scandinavian Journal of Urology and Nephrology
language:en
Short-container-title:Scandinavian Journal of Urology and Nephrology

Author:

Dussol Bertrand¹²,Verdier Jean-Michel³,Le Goff Jean-Marc⁴,Berthezene Patrice²,Berland Yvon¹²

Affiliation:

1. Centre de Néphrologie et de Transplantation Rénale, Hôpital de la Conception, Marseille, France

2. Centre d'Investigation Clinique, INSERM, Université de la Méditerranée, AP-HM, Marseille, France

3. Ecole Pratique des Hautes Etudes, Université Montpellier II, Montpellier, France

4. AVENTI Co., Marseille, France

Publisher

Informa UK Limited

Subject

Urology,Nephrology

Link

https://www.tandfonline.com/doi/pdf/10.1080/00365590701365263

Reference8 articles.

1. Artificial neural networks for assessing the risk of urinary calcium stone among men

2. Family History of Renal Stones in a Population Study of Stone-formers and Healthy Subjects

3. Recurrence and Family History of Renal Stone Disease

4. Inhibitory effects of female sex hormones on urinary stone formation in rats

5. EQUIL 93: a tool for experimental and clinical urolithiasis

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1. Artificial Intelligence in Urology: Application of a Machine Learning Model to Predict the Risk of Urolithiasis in a General Population;Journal of Endourology;2024-08-01

2. Transforming urinary stone disease management by artificial intelligence-based methods: A comprehensive review;Asian Journal of Urology;2023-07

3. Maternal family history of urolithiasis is associated with earlier age of onset of stone disease;World Journal of Urology;2022-12-11

4. Artificial intelligence in endourology: emerging technology for individualized care;Current Opinion in Urology;2022-01-31

5. The Ascent of Artificial Intelligence in Endourology: a Systematic Review Over the Last 2 Decades;Current Urology Reports;2021-10

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