Educational Data Mining (EDM) is used to extract and discover interesting patterns from educational institution datasets using Machine Learning (ML) algorithms. There is much academic information related to students available. Therefore, it is helpful to apply data mining to extract factors affecting students’ academic performance. In this paper, a web-based system for predicting academic performance and identifying students at risk of failure through academic and demographic factors is developed. The ML model is developed to predict the total score of a course at the early stages. Several ML algorithms are applied, namely: Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), and Linear Regression (LR). This model applies to the data of female students of the Computer Science Department at Imam Abdulrahman bin Faisal University (IAU). The dataset contains 842 instances for 168 students. Moreover, the results showed that the prediction’s Mean Absolute Percentage Error (MAPE) reached 6.34%, and the academic factors had a higher impact on students’ academic performance than the demographic factors, the midterm exam score in the top. The developed web-based prediction system is available on an online server and can be used by tutors.

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Background Blood transfusion is a common, essential procedure when treating many different medical and surgical conditions. Efficient utilization of blood bank facilities by frequent auditing is crucial; however, few studies have examined blood utilization in Saudi Arabia. We aimed to review the blood ordering patterns and transfusion practices, and blood bank audit effectiveness at a single center in Saudi Arabia and compare our results with those of a similar study performed in the same center 20 years ago. Materials and methods This study was a retrospective descriptive chart review of all healthy blood donors and recipients from January 1, 2016, to December 31, 2020. We evaluated the crossmatching-to-transfusion ratio (C/T) as an indicator of blood bank utilization and compared the findings with those of the previous study. We also evaluated changes in blood bank utilization during the coronavirus disease 2019 pandemic. Results Findings from 27,414 donors (men, 94.9%; mean age, 32.2 + 9.6 years) showed a 71% increase in blood donations compared to that of 2000. The donations gradually increased over the years, peaking just before COVID-19 pandemic started in March 2020. For 3,836 patients, 13,324 units of blood were crossmatched (average, 3.47 crossmatch/patient), with 23% of the crossmatch requests from surgical departments. The average C/T ratio, transfusion index, and transfusion probability (T%) were 1.37, 2.55, and 73.2%, respectively. The C/T ratio decreased by 54% between 2000 and 2020. During the pandemic, crossmatching decreased by 26% between 2019 and 2020, but with comparable C/T ratio in 2019 (1.45) and 2020 (1.39). Conclusion Our hospital blood bank utilization improved over the past 20 years, showing increased donations, reduced C/T ratio, and increased T%. This improvement emphasizes the importance of blood donation campaigns, blood bank auditing, restrictive transfusion guidelines, and physician education.

Introduction: Desert death is defined as any death that occurs in the desert and could be attributed to a list of causes including environmental, animal related, undetermined, and other causes. Death in the desert seems to be obscure and little discussed in the field of forensic medicine, despite its importance, and there is only limited literature available on this broad topic. This narrative review aims to identify the most common causes of desert death and its medicolegal implications. Desert death causes: Environmental causes of death could be a result of temperature and lightening-related causes. Moreover, a variety of animals found in deserts are considered to be threatening and fatal, in addition to other and undetermined causes. Medicolegal implications of desert death: Likely to arise from the difficulties faced in finding the cause of death are the identification of the victim and the postmortem injuries that occur. Conclusion: Desert death is a broad topic with great medicolegal significance. More information and case reports need to be added in the literature. Guidelines for people about the danger of going to deserts in specific weather conditions should be implemented. Safety regulations must be taken into account at all times.