A multimodal model in the prediction of the delivery mode using data from a digital twin-empowered labor monitoring system
Objective This study aims to address the limitations of current clinical methods in predicting delivery mode by constructing a multimodal neural network-based model. The model utilizes data from a digital twin-empowered labor monitoring system, including computerized cardiotocography (cCTG), ultraso...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-12-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076241304934 |
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