Leveraging Explainable Artificial Intelligence (XAI) for Expert Interpretability in Predicting Rapid Kidney Enlargement Risks in Autosomal Dominant Polycystic Kidney Disease (ADPKD)

Autosomal dominant polycystic kidney disease (ADPKD) is the predominant hereditary factor leading to end-stage renal disease (ESRD) worldwide, affecting individuals across all races with a prevalence of 1 in 400 to 1 in 1000. The disease presents significant challenges in management, particularly wi...

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Vydáno v:	AI (Basel) Ročník 5; číslo 4; s. 2037 - 2065
Hlavní autoři:	Dwiyanti, Latifa, Nambo, Hidetaka, Hamid, Nur
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.12.2024
Témata:	Algorithms Artificial intelligence Artificial neural networks autosomal dominant polycystic kidney disease (ADPKD) Critical path Cysts Data mining Decision trees Electronic health records End users Endoscopy Enlargement Explainable artificial intelligence explainable artificial intelligence (XAI) Injury prevention Kidney diseases Machine learning machine learning classification algorithms Magnetic resonance imaging Patients Risk Semantics Subject specialists Summaries Support vector machines user-centered design United States > US Japan
ISSN:	2673-2688, 2673-2688
On-line přístup:	Získat plný text
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