Clinical Manifestations of Wegener Granulomatosis in Iranian Ethnicities Using the K-Means Algorithm: A Descriptive Study.

 Wegener granulomatosis (WG) appears with clinical symptoms, including recurrent respiratory infection, renal manifestations, and nonspecific systemic symptoms.  To study the clinical manifestations of WG in Iranian ethnicities, and data on 164 patients were recorded from 2013 to 2018.  The data included demographics, symptoms, and the Birmingham Vasculitis Activity Score (BVAS).

Predicting the COVID-19 mortality among Iranian patients using tree-based models: A cross-sectional study.

Background And aims: To explore the use of different machine learning models in prediction of COVID-19 mortality in hospitalized patients.

Materials And Methods: A total of 44,112 patients from six academic hospitals who were admitted for COVID-19 between March 2020 and August 2021 were included in this study. Variables were obtained from their electronic medical records.

An agent based architecture for high-risk neonate management at neonatal intensive care unit.

Background: In recent years, the use of new tools and technologies has decreased the neonatal mortality rate. Despite the positive effect of using these technologies, the decisions are complex and uncertain in critical conditions when the neonate is preterm or has a low birth weight or malformations. There is a need to automate the high-risk neonate management process by creating real-time and more precise decision support tools.

The Evaluation of a Web-Based Stroke Quality Registry System.

Quality registry systems are very useful and have many benefits for clinical experts. Assessing the user experience while working with such a system is one of the most important steps in their development. An evaluation of the quality of the user experience allows designers to improve the system's usability and efficiency.

A Multi Agent Based Approach for Prehospital Emergency Management.

Objective: To demonstrate an architecture to automate the prehospital emergency process to categorize the specialized care according to the situation at the right time for reducing the patient mortality and morbidity.

Methods: Prehospital emergency process were analyzed using existing prehospital management systems, frameworks and the extracted process were modeled using sequence diagram in Rational Rose software. System main agents were identified and modeled via component diagram, considering the main system actors and by logically dividing business functionalities, finally the conceptual architecture for prehospital emergency management was proposed.