GBWOEM: A Gradient-Based Weight Optimization Model for Improved Predictive Accuracy in Healthcare

The GBWOEM model improves the predictive accuracy and offers a reliable solution for healthcare applications even when dealing with the imbalance data. This strategy has the potential to ensure patient outcomes and diagnostic consistency in healthcare settings.

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Publication Details

Journal
F1000Research
Published
2026-01-27
DOI
https://doi.org/10.12688/f1000research.169436.2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

GBWOEM: A Gradient-Based Weight Optimization Model for Improved Predictive Accuracy in Healthcare

Surajit Das, Biswajit Sahoo, Samaleswari P. Nayak, Satyananda Champati Rai
F1000Research
Artificial Intelligence in Healthcare
article

GBWOEM: A Gradient-Based Weight Optimization Model for Improved Predictive Accuracy in Healthcare

Surajit Das, Biswajit Sahoo, Samaleswari P. Nayak, Satyananda Champati Rai
article en

Abstract

The GBWOEM model improves the predictive accuracy and offers a reliable solution for healthcare applications even when dealing with the imbalance data. This strategy has the potential to ensure patient outcomes and diagnostic consistency in healthcare settings.

F1000ResearchVol. 14
Odisha University of Agriculture and Technology (IN), KIIT University (IN)
Openalex Percentile: Top 79%
Artificial Intelligence in Healthcare
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