{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T09:07:20Z","timestamp":1695287240210},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>Infant mortality is characterized by the death of young children under the age of one, and it is an issue affecting millions of children in the world. The objective of this article is to employ concepts of knowledge discovery in databases, specifically of machine learning in the data mining phase, to characterize infant mortality in two states of Brazil: Santa Catarina, with the lowest infant mortality rate of the country\u2019s states, and Amap\u00e1, with the highest. The classifiers C4.5, JRip, Random Forest, SVM, and Multilayer Perceptron were used, and a brief comparison of the results obtained by the classifiers in both states is made. In addition, the dataset preprocessing is detailed, which includes attribute selection and class balancing. The results show that the features APGAR5, WEIGHT, and CONGENITAL ANOMALY stood out the most from the rules generated by the tree-based classifiers.<\/jats:p>","DOI":"10.3233\/shti220183","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:43Z","timestamp":1654594423000},"source":"Crossref","is-referenced-by-count":1,"title":["Characterizing Infant Mortality Using Data Mining \u2013 A Case Study in Two Brazilian States \u2013 Santa Catarina and Amap\u00e1"],"prefix":"10.3233","author":[{"given":"Wanderson L.","family":"Soares","sequence":"first","affiliation":[{"name":"Pontifical Catholic University of Minas Gerais, Institute of Exact Sciences and Informatics, Graduate Program in Informatics, Minas Gerais, Belo Horizonte, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark A.J.","family":"Song","sequence":"additional","affiliation":[{"name":"Pontifical Catholic University of Minas Gerais, Institute of Exact Sciences and Informatics, Graduate Program in Informatics, Minas Gerais, Belo Horizonte, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis E.","family":"Z\u00e1rate","sequence":"additional","affiliation":[{"name":"Pontifical Catholic University of Minas Gerais, Institute of Exact Sciences and Informatics, Graduate Program in Informatics, Minas Gerais, Belo Horizonte, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristiane N.","family":"Nobre","sequence":"additional","affiliation":[{"name":"Pontifical Catholic University of Minas Gerais, Institute of Exact Sciences and Informatics, Graduate Program in Informatics, Minas Gerais, Belo Horizonte, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220183","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:43Z","timestamp":1654594423000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220183"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220183","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}