Inflammation indexes and machine-learning algorithm in predicting urethroplasty success

Inflammation indexes and machine-learning algorithm in predicting urethroplasty success

Purpose: To assess the predictive capability of hematological inflammatory markers for urethral stricture recurrence after primary urethroplasty and to compare traditional statistical methods with a machine-learning-based artificial intelligence algorithm. Materials and Methods: Two hundred eighty-...

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Bibliographic Details
Main Authors: Emre Tokuc, Mithat Eksi, Ridvan Kayar, Samet Demir, Ramazan Topaktas, Yavuz Bastug, Mehmet Akyuz, Metin Ozturk
Format: Article
Language:English
Published: Korean Urological Association 2024-05-01
Series:Investigative and Clinical Urology
Subjects:
artificial intelligence
biomarkers
urethral stricture
urethra
Online Access:https://www.icurology.org/pdf/10.4111/icu.20230302

Internet

https://www.icurology.org/pdf/10.4111/icu.20230302

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