Mantesh Patil
Computer Science
March 2023
Machine learning (ML) has become an important tool in healthcare for disease prediction, diagnosis, and treatment. Ensemble methods have been developed to improve the performance of individual ML algorithms by combining them. However, traditional ensemble methods do not consider the competitiveness of the individual algorithms. Competitive ensemble methods have been developed to address this issue. This review paper provides an overview of the competitive ensemble machine learning technique in healthcare and its applications in various diseases. It also discusses the challenges and future directions for competitive ensemble machine learning in healthcare.
268- 275
© Airo Journals 2021
