An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers

Open Access

Peer-reviewed

Research Article

About the Authors

Michael Owusu-Adjei

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation

Affiliation Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

James Ben Hayfron-Acquah

Roles Supervision

Affiliation Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Twum Frimpong

Roles Formal analysis, Methodology, Writing – review & editing

Affiliation Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Abdul-Salaam Gaddafi

Roles Validation, Visualization

Affiliation Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

The authors have declared that no competing interests exist.

Labor and delivery
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Machine learning
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Termination of pregnancy
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Machine learning algorithms
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Fetal death
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Pregnancy
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Forecasting
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Medical risk factors
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