Machine learning approaches to predict the need for intensive care unit admission among Iranian COVID-19 patients based on ICD-10: A cross-sectional study.

Background & Aim: Timely identification of the patients requiring intensive care unit admission (ICU) could be life-saving. We aimed to compare different machine learning algorithms to predict the requirements for ICU admission in COVID-19 patients.

Methods: We screened all patients with COVID-19 at six academic hospitals in Tehran comprising our study population.

Smart Acute Stroke Quality Registry Design-Data Elements Identification.

Introduction: Stroke is one of the most important health problems around the world. Care quality improvement in the acute phase is significantly influential on stroke prognosis. An acute stroke quality registry that is integrated with a guideline-based support tool is a powerful system for measuring and improving care quality.

Acute Stroke Registry Planning Experiences.

Background: Stroke is a serious health threat around the world, particularly in developing countries. As a preventive action, disease registries have long been used in developed countries. Based on the globally accepted evidence, disease registries have an impressive positive impact on different dimensions of health care systems.

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.