SHAP value summary graph.

SHAP value summary graph.

<div><p>To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based on focal active learning strategies combined with machine learning models. Existing machine learning models often suffer from poor performance on imbalanced medical datasets, where...

Full description

Saved in:
Bibliographic Details
Main Author: Wangyouchen Zhang (21681025) (author)
Other Authors: Zhenhua Xia (582939) (author), Guoqing Cai (740684) (author), Junhao Wang (751227) (author), Xutao Dong (21681028) (author)
Published: 2025
Subjects:
Biochemistry
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
typically achieve 95
smaller labeled dataset
shapley additive explanations
reducing labeling costs
quantify feature importance
overcome common challenges
outperforming traditional models
model &# 8217
machine learning models
focal active learning
fewer labeled samples
experimental results demonstrated
enhancing model interpretability
efficient data utilization
called foci ),
better prediction outcomes
applies attention mechanisms
predicting diabetes risk
diabetes risk prediction
minority class instances
method integrates shap
imbalanced medical datasets
approach significantly improved
novel method based
diabetes datasets
based method
minority classes
method aims
imbalanced classification
based sampling
xlink ">
using similarity
study proposes
limited generalization
iteratively constructed
generalization ability
evaluation metrics
diabetic cases
clinical settings
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items