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Development and validation of a machine learning model for prediction of cephalic dystocia

2024-08-19

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold> Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. Machine learning offers unique advantages, enabling the generation of predictive models using various types of clinical data. Our model aims to integrate objective ultrasound data with psychological and sociological characteristics and obstetric treatment data...

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Literature Corpus work
fa58d0ba-46f2-59ce-b8f8-8aad109122ec
DOI
10.21203/rs.3.rs-4776419/v1
Open publication

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Development and validation of a machine learning model for prediction of cephalic dystociaDOI 10.21203/rs.3.rs-4776419/v1
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