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Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk
Citations:
3
References:
11
Abstract
By analyzing maternal age, heart rate, blood oxygen level, blood pressure, and body temperature, it has the potential to evaluate the risk complexity for certain patients. Early identification and classification of risk variables can successfully prevent pregnancy-related issues by reducing the number of errors. Maternal risk analysis can improve prenatal care, improve mother and baby health, and ...
Keywords
2024
Article
Open Access
2-Y Citation Average
0.355
Language
Country
Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk
Citations:
3
References:
11
Abstract
By analyzing maternal age, heart rate, blood oxygen level, blood pressure, and body temperature, it has the potential to evaluate the risk complexity for certain patients. Early identification and classification of risk variables can successfully prevent pregnancy-related issues by reducing the number of errors. Maternal risk analysis can improve prenatal care, improve mother and baby health, and ...
Keywords
2024
Article
Open Access
2-Y Citation Average
0.355
Language
Country