Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical and Statistical Analysis of Fetal Health Classification Using Different Machine Learning Algorithm Description An account of the resource The health of both the mother and the baby is affected by how well the fetus is doing during pregnancy, making it a matter of utmost importance. To achieve the best results possible, it is essential to regularly monitor and intervene when needed. While there are many ways to observe the wellbeing of the fetus in the mother's womb, using artificial intelligence (AI) has the potential to enhance accuracy, efficiency, and speed when it comes to diagnosing any issues. This study focuses on developing a machine learning-driven system for accurate fetal health classification. The dataset comprises detailed information on the signs and symptoms of pregnant individuals, particularly those at risk or with emerging fetal health issues. Employing a set of ten machine learning models namely Nae Bayes, Logistic Regression, Decision Tree, Random Forest, KNN, SVM, Gradient Boosting, Linear Discriminant Analysis, Quadratic Discriminant Analysis Light Gradient Boosting Machine (LGBM) along with ensemble-based processes, the Light Gradient Boosting Machine (LGBM) has been identified as a standout performer, accomplishing an accuracy of 96.9%. Furthermore, our exploration demonstrates overall performance like character fashions, signaling promising prospects for sturdy and correct fetal fitness class systems. This study highlights the power of machine learning that could revolutionize prenatal care by identifying fetal health problems early. 2024 IEEE. Creator An entity primarily responsible for making the resource Nagavibha R.; Satheesh M.M.; Chandy M.P.; Prathap B.R. Source A related resource from which the described resource is derived IEEE International Conference on Data Engineering and Communication Systems, ICDECS 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICDECS59733.2023.10503087" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDECS59733.2023.10503087</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192565405&amp;doi=10.1109%2FICDECS59733.2023.10503087&amp;partnerID=40&amp;md5=aaaa0591508d2d27802c1ab77c37f36e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192565405&amp;doi=10.1109%2fICDECS59733.2023.10503087&amp;partnerID=40&amp;md5=aaaa0591508d2d27802c1ab77c37f36e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039335-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nagavibha R., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Satheesh M.M., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Chandy M.P., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Prathap B.R., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India