other Mathematical Modeling and Applications of OR Mathematical Modeling and Applications of OR پژوهشی Original <span class="fontstyle0">Predictive analytics is an area of statistics that deals with extracting information from data and using<br> that to predict trends and behavioral patterns. Many mathematical models have been developed and<br> used for prediction, and in some cases, they have been found to be very strong and reliable. This<br> paper studies different mathematical and statistical approaches for events prediction. The main goal<br> of this research is to design and construct a hybrid prediction method for events prediction, based on<br> Logistic Regression (LR) method and Data Envelopment Analysis (DEA) technique. In this study, a<br> novel hybrid algorithm was developed, and considering the kind of collected data, LR method was<br> applied for input selection, and the capability of the additive (ADD) model of DEA was examined to<br> predict the occurrence or non-occurrence of the events. To apply the proposed approach, the selected<br> disease for the case study was a stroke. The results showed that any patient who was placed on the<br> frontier has had a stroke by one or more risk factors. On the other hand, the observations that were<br> not on the frontier had not suffered from a stroke. The overall accuracy of 88.5 percentages was<br> obtained for the developed method</span><br style=" font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; " > &nbsp; Data Envelopment Analysis, Logistic Regression, Additive Model, Risk Factor, Stroke Disease. 43 58 http://iors.ir/journal/browse.php?a_code=A-10-1422-23&slc_lang=other&sid=1 Jafar Pourmahmoud Jafar Pourmahmoud Pourmahmoud@azaruniv.ac.ir 1111111111 1111111111 Yes University of Azarbaijan Shahid madani, Tabriz, Iran University of Azarbaijan Shahid madani, Tabriz, Iran Maedeh Gholam Azad Maedeh Gholam Azad m.gholamazad@azaruniv.ac.ir 1111111111 1111111111 No University of Azarbaijan Shahid madani, Tabriz, Iran University of Azarbaijan Shahid madani, Tabriz, Iran