{"id":4613,"date":"2023-03-29T20:09:21","date_gmt":"2023-03-29T18:09:21","guid":{"rendered":"https:\/\/www.jphres.org\/?p=4613"},"modified":"2023-04-02T13:53:40","modified_gmt":"2023-04-02T11:53:40","slug":"predicting-the-outcome-of-occupational-accidents-by-cart-and-chaid-methods-at-a-steel-factory-in-iran","status":"publish","type":"page","link":"https:\/\/www.jphres.us.com\/index.php\/jphres\/article\/view\/1361\/","title":{"rendered":"Predicting the outcome of occupational accidents by CART and CHAID methods at a steel factory in Iran"},"content":{"rendered":"<div class=\"item doi\"><span class=\"value\"><a href=\"https:\/\/doi.org\/10.4081\/jphr.2018.1361\">https:\/\/doi.org\/10.4081\/jphr.2018.1361<\/a><\/span><\/div>\n<ul class=\"item authors\">\n<li><span class=\"name\"><strong>Gholam Abbas Shirali<\/strong><br \/>\n<\/span><span class=\"affiliation\">Department of Occupational Health Engineering, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of.<\/span><\/li>\n<li><span class=\"name\"><strong>Moloud Valipour Noroozi<\/strong><br \/>\nDepartment of Occupational Health Engineering, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of.<\/span><\/li>\n<li><span class=\"name\"><strong>Amal Saki Malehi<\/strong><br \/>\n<\/span><span class=\"affiliation\">Department of Biostatistics and Epidemiology, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of.<\/span><\/li>\n<\/ul>\n<div class=\"item abstract\">\n<h3 class=\"label\">ABSTRACT<\/h3>\n<p><em>Background<\/em>: A large number of occupational accidents happen at steel industries in Iran. The information about these accidents is recorded by safety offices. Data mining methods are one of the suitable ways for using these databases to create useful information. Classification and regression trees (CART) and chisquare automatic interaction detection (CHAID) are two types of a decision tree which are used in data mining for creating predictions. These predictions could show characteristics of susceptible people exposed to occupational accidents. This study was aimed to predict the outcome of occupational accidents by CART and CHAID methods at a steel factory in Iran.<br \/>\n<em><br \/>\nDesign and methods:<\/em>\u00a0In this study, the data of 12 variables for 2127 cases of occupational injuries (including three categories of minor, severe and fatal) from 2001 to 2014 were collected. CART and CHAID algorithms in IBM SPSS Modeler version 18 were used to create decision trees and predictions.<br \/>\n<em><br \/>\nResults:<\/em>\u00a0Five predictions for the outcome of occupational accidents were created for each method. The most important predictor variables for CART method included age, the cause of accident and level of education respectively. For CHAID method, age, place of accident and level of education were the most important predictor variables respectively. Furthermore the accuracy of CART and CHAID methods were 81.78% and 80.73%, respectively for predictions.<br \/>\n<em><br \/>\nConclusions:<\/em>\u00a0CART and CHAID methods can be used to predict the outcome of occupational accidents in the steel industry. Thus the rate of injuries can be reduced by using the predictions for employing preventive measures and training in the steel industry.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/doi.org\/10.4081\/jphr.2018.1361 Gholam Abbas Shirali Department of Occupational Health Engineering, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of. Moloud Valipour Noroozi Department of Occupational Health Engineering, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of. Amal Saki Malehi Department of Biostatistics and Epidemiology, &#8230; <a title=\"Predicting the outcome of occupational accidents by CART and CHAID methods at a steel factory in Iran\" class=\"read-more\" href=\"https:\/\/www.jphres.us.com\/index.php\/jphres\/article\/view\/1361\/\" aria-label=\"More on Predicting the outcome of occupational accidents by CART and CHAID methods at a steel factory in Iran\">Read more<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-4613","page","type-page","status-publish"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Predicting the outcome of occupational accidents by CART and CHAID methods at a steel factory in Iran - Journal of Public Health Research<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.jphres.us.com\/index.php\/jphres\/article\/view\/1361\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predicting the outcome of occupational accidents by CART and CHAID methods at a steel factory in Iran - Journal of Public Health Research\" \/>\n<meta property=\"og:description\" content=\"https:\/\/doi.org\/10.4081\/jphr.2018.1361 Gholam Abbas Shirali Department of Occupational Health Engineering, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of. Moloud Valipour Noroozi Department of Occupational Health Engineering, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of. Amal Saki Malehi Department of Biostatistics and Epidemiology, ... 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Moloud Valipour Noroozi Department of Occupational Health Engineering, Faculty of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran, Islamic Republic of. Amal Saki Malehi Department of Biostatistics and Epidemiology, ... 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