A Risk-Oriented and Explainable Hierarchical AI Framework for Chronic Kidney Disease Classification

The proposed system provides a transparent and deployable framework that supports preventive nephrology and clinically meaningful decision-making.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2026-04-14
DOI
https://doi.org/10.3390/diagnostics16081157
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Risk-Oriented and Explainable Hierarchical AI Framework for Chronic Kidney Disease Classification

Nahed Alowidi, Fatmah M. A. Naemi, Sara Alhaifi
Diagnostics
Artificial Intelligence in Healthcare
article

A Risk-Oriented and Explainable Hierarchical AI Framework for Chronic Kidney Disease Classification

Nahed Alowidi, Fatmah M. A. Naemi, Sara Alhaifi
article en

Abstract

The proposed system provides a transparent and deployable framework that supports preventive nephrology and clinically meaningful decision-making.

DiagnosticsVol. 16(8)
King Abdulaziz University (SA), King Fahad Hospital Jeddah (SA)
King Abdulaziz University
Peace, Justice and strong institutions
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.