fa Mathematical Modeling and Applications of OR Mathematical Modeling and Applications of OR پژوهشی Original <em>In this study, an alternative method is proposed based on recursive deep learning with limited steps and prepossessing, in which the data is divided into A unit classes in order to change a long short term memory and solve the existing challenges. The goal is to obtain predictive results that are closer to real world in COVID-19 patients. To achieve this goal, four existing challenges including the heterogeneous data, the imbalanced data distribution in predicted classes, the low allocation rate of data to a class and the existence of many features in a process have been resolved. The proposed method is simulated using the real data of COVID-19 patients hospitalized in treatment centers of Tehran treatment management affiliated to the Social Security Organization of Iran in 2020, which has led to recovery or death. The obtained results are compared against three valid advanced methods, and are showed that the amount of memory resources usage and CPU usage time are slightly increased compared to similar methods &nbsp;and the accuracy is increased by an average of 12%.</em> Long Short Term Memory, Recurrent Deep Learning, Prediction, COVID-19, Neural Network 48 64 http://iors.ir/journal/browse.php?a_code=A-10-1422-29&slc_lang=fa&sid=1 Mehrdad Fadaei PellehShahi Mehrdad Fadaei PellehShahi Mehrdad.fadaei95@stumail.liau.ac.ir 1111111111 1111111111 No Lahijan Branch, Islamic Azad University Lahijan Branch, Islamic Azad University Sohrab Kordrostami Sohrab Kordrostami Kordrostami@ liau.ac.ir 1111111111 1111111111 No Lahijan Branch, Islamic Azad University Lahijan Branch, Islamic Azad University Amir Hosein Refahi Sheikhani Amir Hosein Refahi Sheikhani ah_refahi@liau.ac.ir 1111111111 1111111111 Yes Lahijan Branch, Islamic Azad University Lahijan Branch, Islamic Azad University Marzieh Faridi Masouleh Marzieh Faridi Masouleh m.faridi@ahrar.ac.ir 1111111111 1111111111 No Ahrar Institute of Technology and Higher Education, Rasht Ahrar Institute of Technology and Higher Education, Rasht Soheil Shokri Soheil Shokri soheilshokri@gmail.com 1111111111 1111111111 No Lahijan Branch, Islamic Azad University Lahijan Branch, Islamic Azad University