A Novel Active Learning Technique for Fetal Health Classification Based on XGBoost Classifier

A Novel Active Learning Technique for Fetal Health Classification Based on XGBoost Classifier

Ensuring safe pregnancy and reducing maternal and infant mortality rates require early prediction of fetal health. The application of machine learning algorithms in monitoring fetal health helps to improve the chances of timely intervention and better outcomes in the event of any possible health iss...

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Bibliographic Details
Main Authors: Kaushal Bhardwaj, Niyati Goyal, Bhavika Mittal, Vandna Sharma, Shiv Naresh Shivhare
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Fetal health
active learning
XGBoost
query function
uncertainty
diversity
Online Access:https://ieeexplore.ieee.org/document/10833651/
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https://ieeexplore.ieee.org/document/10833651/

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