Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization
Cardiovascular diseases (CVDs) are a primary global health concern, impacting the heart and blood vessels extensively. In this paper, we introduce a novel imbalanced learning approach named Imbalanced Maximizing-Area Under the Curve (AUC) Proximal Support Vector Machine (ImAUC-PSVM), which harnesses...
Saved in:
Main Authors: | Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy |
---|---|
Format: | Article |
Language: | English |
Published: |
Bilijipub publisher
2024-03-01
|
Series: | Advances in Engineering and Intelligence Systems |
Subjects: | |
Online Access: | https://aeis.bilijipub.com/article_193338_491f5f9e6648e07b423ddfc3a7c63527.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems
by: Kevin Z. Bai, et al.
Published: (2024-12-01) -
Optimizing SVM for argan tree classification using Sentinel-2 data: A case study in the Sous-Massa Region, Morocco
by: Abdelhak El Kharki, et al.
Published: (2024-11-01) -
Enhancing Load Prediction Accuracy using Optimized Support Vector Regression Models
by: Abdulsemiu Olawuyi, et al.
Published: (2023-12-01) -
An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction
by: Jerry Emmanuel, et al.
Published: (2025-01-01) -
SVM classifier for telecom user arrears based on boundary samples-based under-sampling approaches
by: Chuangchuang LI, et al.
Published: (2017-09-01)