Autoresponder using Chatbot for Educational Services

The Internet of Things (IoT) has had a significant impact on human existence. This branch of study will lead to the creation of technology and concepts that will enable humans to communicate with machines. that is specifically developed it for a specific job. Students and faculty members need to have access to educational service. When learning became fully electronic, during the Corona pandemic, every effort was made to strengthen services such as technical support and access to education materials. Chat bot is the most popular feature on Telegram which allows a third party or user to design bot functionalities based on user requirements. As a result, autoresponder messages can help solve a variety of issues, including searching for educational sources, accessing technical support channels, and FAQs, and easing the heavy burden on technical support that occurred during the COVID-19 pandemic. By developing this service, you may get reply by essential information to lecturers, students, and the academic community while saving time and handling many requests concurrently. Where the service has been developed to be available 24 hours to provide all data and access links directly without having to search for them. © 2023 IEEE.

D-dimer as a predictive and prognostic marker among COVID-19 patients.

OBJECTIVES: To examine D-dimer, coagulation profile, and platelet count among patients hospitalized with coronavirus disease-19 (COVID-19) and compare them to findings from non-COVID-19 subjects. METHODS: The participants in this retrospective hospital-based observational study design included 112 confirmed diagnosed with COVID-19 who were admitted to King Khaled Hospital, Najran, Saudi Arabia, and another 112 non-COVID-19 subjects as a comparative group. Laboratory investigations, demographic and clinical records were obtained from participants' electronic indexed medical records. Coronavirus disease-19 diagnosis was confirmed according to positive real time polymerase chain reaction assay carried out at the hospital's central laboratory, where samples were extracted from a nasopharyngeal swab. Pneumonia related to COVID-19 is classified as critical, severe, moderate, mild, and asymptomatic whereas thrombocytopenia was marked when the platelet count was <150.00×109/L. Suitable statistical analysis was applied to determine possible differences between the findings from the 2 groups. RESULTS: The D-dimer and activated partial thromboplastin clotting time mean values were significantly elevated (p<0.001). The international normalized ratio and platelet count mean values confirmed a significant decrease (p<0.001). Thrombocytopenia was found 9 times in COVID-19 higher than in the non-COVID-19. D-dimer and prothrombin time mean values increased significantly among the COVID-19 patients with all patterns of symptoms on admission (p<0.001). CONCLUSION: D-dimer mean values increased significantly in deceased COVID-19 and in hospitalized intensive care unit (ICU) wards patients (p<0.001), indicating a potential predictive and prognostic severity marker, particularly among COVID-19 patients in the ICU.

Demographic, clinical, and outcomes of confirmed cases of Middle East Respiratory Syndrome coronavirus (MERS-CoV) in Najran, Kingdom of Saudi Arabia (KSA); A retrospective record based study.

INTRODUCTION: MERS is caused by a viral infection, which was first identified in KSA, 2012. MERS-CoV infection consequences with either hospitalization or death. METHODS: All positive MERS-CoV cases that diagnosed in and reported to a referral hospital in Najran, KSA from March/2014 to December/2018 were revised retrospectively. We identified patients from infection control department and medical records. Demographic, clinical, and outcome data were collected. RESULTS: Of the 54 positive MERS-CoV cases, 3 cases were excluded because no available data. Therefore, the final number of the included cases in the study was 51 cases (94.4). Most of the patients were Saudi 36 (70.6%), and majority of cases were reported in the winter 18 (35.3) season. Fever 47 (92.2%), cough 44 (86.3%), and shortness of breath 37 (72.5%) were reported as most common symptoms. Most patients had diabetes mellitus and hypertension. Overall mortality rate was 37.3%, and interestingly the mortality rate dropped sharply over 5 years. In logistic regression analysis, Season and Chronic Kidney disease patients were the only two variables statistically significantly associated with death. The odds of death the patients infected by MERS-CoV during Autumn and Winter season were 4.09 times higher than those patients who infected during Spring and Summer season (OR = 4.09, CI 1.18-14.15, P < 0.026). Compared with MERS-CoV patients who had Non-Chronic kidney diseases, the odds of death the MERS-CoV patients who had chronic kidney diseases were 18.08 times higher (OR = 18.08, CI -2.01-162.99, P < 0.01). CONCLUSION: The case fatality rate of MERS-CoV infection was high. Further studies with large sample sizes are needed to explore the reasons behind the decrease in the mortality rate over the time period.