Improved Birthweight Prediction With Feature‐Wise Linear Modulation, <scp>GRU</scp>, and Attention Mechanism in Ultrasound Data

The findings of this study are vital for birthweight prediction, clinical delivery guideline development, and implementation of decision-making. The proposed approach supports clinicians in making informed decisions during obstetric examinations and assists pregnant women in weight management, showcasing significant advancements in maternal healthcare.

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Publication Details

Journal
Journal of Ultrasound in Medicine
Published
2024-12-26
DOI
https://doi.org/10.1002/jum.16633
Citations
5
Primary Topic
Neonatal Respiratory Health Research
Type
article
Field-Weighted Citation Impact
2.09
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article

Improved Birthweight Prediction With Feature‐Wise Linear Modulation, GRU, and Attention Mechanism in Ultrasound Data

G. Mohana Priya, S Sangeetha
5 citations
Journal of Ultrasound in Medicine
Neonatal Respiratory Health Research
2.09
article

Improved Birthweight Prediction With Feature‐Wise Linear Modulation, GRU, and Attention Mechanism in Ultrasound Data

G. Mohana Priya, S Sangeetha
article en
5 citations

Abstract

The findings of this study are vital for birthweight prediction, clinical delivery guideline development, and implementation of decision-making. The proposed approach supports clinicians in making informed decisions during obstetric examinations and assists pregnant women in weight management, showcasing significant advancements in maternal healthcare.

Journal of Ultrasound in MedicineVol. 44(4)
SRM Institute of Science and Technology (IN)
Good health and well-being
Openalex Percentile: Top 11%
Neonatal Respiratory Health Research
2.09
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Improved Birthweight Prediction With Feature‐Wise Linear Modulation, <scp>GRU</scp>, and Attention Mechanism in Ultrasound Data — G. Mohana Priya, S Sangeetha · Journal of Ultrasound in Medicine (2024) | TGRS Research Map | TGRS