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 Articles Article Faculty Publications -Articles 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 Mining and Interpretation of Critical Aspects of Infant Health Status Using Multi-Objective Evolutionary Feature Selection Approaches Subject The topic of the resource ant lion optimization; feature selection; genetic algorithm; Infant mortality; multi objective optimization Description An account of the resource The rate of infant mortality (IMR) in a population under one year of age is a marker for infant mortality. It is a major sensitive marker of a community's overall physical health. Protecting the lives of newborns has become a challenging issue in public health, development programs, and humanitarian initiatives. Almost 10.1% infants died in the United States of America (USA) in 2021. Therefore, this paper aims to extract and understand the various influential factors causing infant deaths in the USA. A crowding distance-based multi-objective ant lion optimization (MOALO-CD) is proposed here with statistical evidence for feature selection. The proposed technique is compared with competitive metaheuristic models such as multi-objective genetic algorithm based on crowding distance (MOGA-CD), multi-objective filter approaches, and recursive feature elimination. Various machine learning classifiers are applied to the selected feature subset obtained from MOALO-CD on the USA's infant dataset. Extensive experimental results indicate that the proposed model outperforms the existing metaheuristic approaches in terms of Generational Distance, Inverted Generational Distance, Spread, and Hyper volume. Also, the comparative analysis of various machine learning models reveals that random forest achieves significantly better performance on the feature subset obtained from MOALO-CD. 2013 IEEE. Creator An entity primarily responsible for making the resource Piri J.; Mohapatra P.; Singh D.; Samanta D.; Singh D.; Kaur M.; Lee H.-N. Source A related resource from which the described resource is derived IEEE Access, Vol-10, pp. 32622-32638. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2022.3161154" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2022.3161154</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127058988&amp;doi=10.1109%2FACCESS.2022.3161154&amp;partnerID=40&amp;md5=e56d237d01d7354a2877ee6279ced0e9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127058988&amp;doi=10.1109%2fACCESS.2022.3161154&amp;partnerID=40&amp;md5=e56d237d01d7354a2877ee6279ced0e9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Piri J., Department of Cse, International Institute of Information Technology, Odisha, Bhubaneswar, 751029, India; Mohapatra P., Department of Cse, International Institute of Information Technology, Odisha, Bhubaneswar, 751029, India; Singh D., Department of Computer Application, Institute of Technical Education and Research (ITER), Siksha 'o' Anusandhan (SOA) Deemed to Be University, Odisha, Bhubaneswar, 751030, India; Samanta D., Department of Computer Science, Christ University, Karnataka, Bangalore, 560029, India; Singh D., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea; Kaur M., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea; Lee H.-N., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea