en Environmental Health, Sciences, and Engineering Original articles <div style="text-align: justify;"><span style="font-size:10.5pt"><span style="line-height:115%"><span style="tab-stops:36.0pt"><span sans-serif="" style="font-family:Arial,"><span style="color:black"><b><i><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">Introduction</span></span></span></i></b><i><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">:</span></span></span></i><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""> To improve current practices and create the most effective healthcare waste treatment system, solid medical waste composition needs to be analyzed. This&nbsp; study aims to develop models to predict the rate of medical waste production in hospitals in Hilla city, Iraq. Predictive mode can be used to set standards, evaluate current methods for treating and disposing medical waste, and optimize healthcare solid waste management systems.</span></span></span></span></span></span></span></span><br> <span style="font-size:10.5pt"><span style="line-height:115%"><span style="tab-stops:36.0pt"><span sans-serif="" style="font-family:Arial,"><span style="color:black"><b><i><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">Materials and Methods</span></span></span></i></b><i><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">:</span></span></span></i><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""> Predictive models and long-term data on the composition and rate of solid medical waste generation were developed using a longitudinal study design. A standardized questionnaire and weighted scale were used to measure solid medical waste generated from the five public hospitals. Statistics were used to create models predicting the amount of waste generated at each hospital.</span></span></span></span></span></span></span></span><br> <span style="font-size:10.5pt"><span style="line-height:115%"><span style="tab-stops:36.0pt"><span sans-serif="" style="font-family:Arial,"><span style="color:black"><b><i><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times="">Results:</span></span></span></i></b><span lang="IT" style="font-size:10.0pt"><span style="line-height:115%"><span new="" roman="" style="font-family:" times=""> These models demonstrated a significant correlation between inpatient and outpatient numbers and waste generation. Different hospitals treat different numbers of inpatients and outpatients. Different models have been created based on various types of hospitals.</span></span></span></span></span></span></span></span><br> <b><i><span lang="IT" style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">Conclusion</span></span></i></b><i><span lang="IT" style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">:</span></span></i><span lang="IT" style="font-size:10.0pt"><span new="" roman="" style="font-family:" times=""> Linear rule-based models accurately represent the weights of variables, identify the sources and implications of solid medical waste, and control waste levels by using a variety of parameters. The research model can help in the development of an effective strategic plan for setting up a medical solid waste (MSW) management system.</span></span></div> <quillbot-extension-portal></quillbot-extension-portal><quillbot-extension-portal></quillbot-extension-portal><quillbot-extension-portal></quillbot-extension-portal> Medical Waste, Solid Waste, Waste Management, Mathematical Model, Statistical, Iraq. 1923 1937 http://jehsd.ssu.ac.ir/browse.php?a_code=A-10-571-1&slc_lang=en&sid=1 Suad Al Fatlawi suadalfatlawi@yahoo.com 0000-0003-1150-3706 Yes Department of Environmental Engineering, University of Babylon, Babylon, Iraq. Mustafa Al-Alwani 0000-0001-6700-9219 No Republic of Iraq, Ministry of Higher Education and Scientific Research, Iraq.