Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases

Hybrid metaheuristic optimization for detecting and diagnosing noncommunicable diseases

Abstract In our data-driven world, the healthcare sector faces significant challenges in the early detection and management of Non-Communicable Diseases (NCDs). The COVID-19 pandemic has further emphasized the need for effective tools to predict and treat NCDs, especially in individuals at risk. Thi...

Full description

Bibliographic Details
Main Authors: Saleem Malik, S. Gopal Krishna Patro, Chandrakanta Mahanty, Saravanapriya Kumar, Ayodele Lasisi, Quadri Noorulhasan Naveed, Anjanabhargavi Kulkarni, Abdulrajak Buradi, Addisu Frinjo Emma, Naoufel Kraiem
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Non-Communicable diseases
Feature selection
Optimization algorithms
Online Access:https://doi.org/10.1038/s41598-025-91136-3

Internet

https://doi.org/10.1038/s41598-025-91136-3

Similar Items