MDGAIN-IFC: An intelligent construction method for full/refined benchmark dataset of postpartum hemorrhage based on MDGAIN and information fidelity

MDGAIN-IFC: An intelligent construction method for full/refined benchmark dataset of postpartum hemorrhage based on MDGAIN and information fidelity

Postpartum hemorrhage (PPH) seriously affects the quality of life of parturients and their families, and imposes a huge economic and social burden on countries around the world. In this study, we propose a PPH Full/Refined (F/R) Dataset construction framework integrating Missing Data Generative Adve...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaodan Li, Yue Zhou, Fengchun Gao, Di Cheng, Wushan Li, Kaijian Xia, Hongsheng Yin
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Alexandria Engineering Journal
Subjects:
PPH
Full dataset
Refined dataset
Data imputation
Data dimensionality reduction
IFC
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016825009196
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items