Corrigendum: Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease

Front Artif Intell. 2024 Feb 2:7:1373254. doi: 10.3389/frai.2024.1373254. eCollection 2024.

¹ Department of Electrical Engineering, Nazeer Hussain University, Karachi, Pakistan.
² Department of Electrical Engineering, Mehran University of Engineering and Technology, Khairpur Mirs, Sindh, Pakistan.
³ Department of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.
⁴ Department of Zoology, Shah Abdul Latif University Khairpur Mirs, Khairpur Mirs, Pakistan.
⁵ School of Electrical Engineering, Southeast University, Nanjing, China.
⁶ Electrical Engineering Department, University of Business and Technology, Jeddah, Saudi Arabia.
⁷ Engineering Mathematics Department, Alexandria University, Alexandria, Egypt.
⁸ Department of Electrical Engineering, College of Engineering, Northern Border University, Arar, Saudi Arabia.

Abstract

[This corrects the article DOI: 10.3389/frai.2023.1339988.].

Keywords: deep learning; forecasting; machine learning; medicine; public health.