Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems
Healthcare AI systems exclusively employ classification models for disease detection. However, with the recent research advances into this arena, it has been observed that single classification models have achieved limited accuracy in some cases. Employing fusion of multiple classifiers outputs into...
Saved in:
Main Authors: | Sashikala Mishra (Author), Kailash Shaw (Author), Debahuti Mishra (Author), Shruti Patil (Author), Ketan Kotecha (Author), Satish Kumar (Author), Simi Bajaj (Author) |
---|---|
Format: | Book |
Published: |
Frontiers Media S.A.,
2022-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Explainable AI Approach for the Rapid Diagnosis of COVID-19 Using Ensemble Learning Algorithms
by: Houwu Gong, et al.
Published: (2022) -
Ensemble Algorithms and Their Applications
Published: (2020) -
Management Architecture With Multi-modal Ensemble AI Models for Worker Safety
by: Dongyeop Lee, et al.
Published: (2024) -
An Ensemble Learning Algorithm for Cognitive Evaluation by an Immersive Virtual Reality Supermarket
by: Yifan Wang, et al.
Published: (2024) -
Non-Fatal Drowning Risk Prediction Based on Stacking Ensemble Algorithm
by: Xinshan Xie, et al.
Published: (2022)