The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Intelligent Framework for Early Chronic Kidney Disease Prognosis: Hybrid Ensemble and Statistical Feature Selection Approach and Comparative Study
|
|
Author(s): Jayesh Motwani (Vellore Institute of Technology, India), Avinash Chandra (Vellore Institute of Technology, India), Nilamadhab Mishra (VIT Bhopal University, India), Anand Motwani (VIT Bhopal University, India)and Monica Arya (CMR Engineering College, Kandlakoya, India)
Copyright: 2026
Pages: 32
Source title:
AI-Driven Strategies for Sustainable Guest Experience in Intelligent Hospitality
Source Author(s)/Editor(s): Ahmed K. Elnagar (Taibah University, Saudi Arabia), Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)and Ahmad Mohammad Herzallah (Al-Quds University, Palestine)
DOI: 10.4018/979-8-3373-8197-8.ch013
Purchase
|
Abstract
We propose a hybrid wrapper approach, “Statistical-Recursive Feature Elimination” (S-RFE), to obtain an optimal and highly predictive subset of features. Max Voting Ensemble (MVE) optimization is applied to effectively predict diseases with optimal features, where the problem of finding the best classifier is formulated by representing multiple objective functions as a single objective function. Significant disease predictors were validated using statistical significance values and AUC-ROC. The proposed model has been experimentally validated for real data, and a comparison of models with different benchmark classifiers is also presented. We have achieved maximum accuracy (99.25%) and F1-score (99.2), with accuracy (0.99), having the ideal count of predictive features. Our prototype generates alerts for patients at risk, as well as for any new patients who may be at risk.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|