en Health program evaluation Health program evaluation پژوهشي Research <span style="font-size:9pt"><span minion="" pro="" style="font-family:"><b>Introduction</b>: This study addresses the challenge of accurately predicting firefighting operation times in urban areas using machine learning techniques.</span></span><br> <span style="font-size:9pt"><span minion="" pro="" style="font-family:"><b>Materials & Methods</b><b><span style="font-size:11.0pt"><span new="" roman="" style="font-family:" times="">: </span></span></b>Data from 1,399 firefighting incidents in Ilam City during 2022 were analyzed after preprocessing, focusing on 19 key variables out of an initial 31. Among the evaluated models, the Generalized Linear Model (GLM) showed the best performance with the lowest RMSE (14.21 &plusmn; 1.65) and estimated an average operation time of 26.96 minutes (95% CI: 12.75&ndash;41.17).<span lang="FA" dir="RTL" style="font-family:"Times New Roman",serif"></span></span></span><br> <span style="font-size:9pt"><span minion="" pro="" style="font-family:"><b>Results</b><b><span style="font-size:11.0pt"><span new="" roman="" style="font-family:" times="">: &nbsp;</span></span></b>Important factors influencing operation duration included the number of personnel, rescue equipment, fire engines, and manual extinguishers. The results demonstrate the potential of ML models to optimize resource allocation and response strategies, contributing to more efficient urban fire management and reduced losses.</span></span><br> <span style="font-size:9pt"><span minion="" pro="" style="font-family:"><b>Conclusion</b><b><span style="font-size:11.0pt"><span new="" roman="" style="font-family:" times="">: &nbsp;</span></span></b>Further work is needed to enhance data quality and model accuracy for improved operational planning.</span></span><br> &nbsp; ,Machine Learning,Firefighting,Urban Emergencies,Predictive Modeling,Response Time. 32 36 http://jhsp.medilam.ac.ir/browse.php?a_code=A-10-54-3&slc_lang=en&sid=1 maryam kheiry m.kheiry@yahoo.com 1003194753284600314 1003194753284600314 No Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran Yousef veisani yousefveisani@yahoo.com 1003194753284600315 1003194753284600315 No Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran Hojjat Sayyadi Sayyadi sayyadi.h@gmail.com 1003194753284600316 1003194753284600316 No Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran Bahram Havasy b.havasy@yahoo.com 1003194753284600317 1003194753284600317 No Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran Ali Sahebi ali.sahebi.phd@gmail.com 1003194753284600318 1003194753284600318 Yes Non-Communicable Diseases Research Center, Ilam University of Medical Sciences, Ilam, Iran