Machine Learning-Based Approach to Predict Intrauterine Growth Restriction
Machine Learning-Based Approach to Predict Intrauterine Growth Restriction
About this item
Full title
Author / Creator
Publisher
United States: Cureus Inc
Journal title
Language
English
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Publication information
Publisher
United States: Cureus Inc
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Scope and Contents
Contents
Creating a prediction model incorporating multiple risk factors for intrauterine growth restriction is vital. The current study employed a machine learning model to predict intrauterine growth restriction.
This cross-sectional study was carried out in a tertiary hospital in Bandar Abbas, Iran, from January 2020 to January 2022. Women with single...
Alternative Titles
Full title
Machine Learning-Based Approach to Predict Intrauterine Growth Restriction
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10403995
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10403995
Other Identifiers
ISSN
2168-8184
E-ISSN
2168-8184
DOI
10.7759/cureus.41448
