Work

NS-Assist: Nephrotic Syndrome Assistance System for Pediatric Decision-Making in Pandemic Situations

Year: 2025

Type: article

Abstract: The COVID-19 pandemic has underscored the need for telemedicine to ensure continuity of pediatric care during health emergencies. This paper presents NS-Assist, a hybrid web–mobile decision support system for managing Idiopathic Nephrotic Syndrome (INS) in children. The system combines rule-based reasoning and fuzzy inference to assist clinicians in diagnosis, treatment adjustment, and relapse monitoring, while enabling caregivers to record and track daily health data. Implemented using Spring Boot, ReactJS, and Flutter with a secure MySQL database, NS-Assist integrates medical expertise with computational intelligence to support remote decision-making. A pilot evaluation involving 40 participants, including clinicians and caregivers, showed improved communication, reduced consultation time, and enhanced follow-up continuity. These results highlight the system’s potential as a reliable and adaptable framework for pediatric telemedicine in resource-constrained and emergency settings.

Source: Applied Sciences

DOI: 10.3390/app152111433

Authors: Nada Zendaoui, Nardjes Bouchemal, Naila Bouchemal, Imane Boussebough, Galina Ivanova

Institutions: Centre Universitaire de Mila, Université Constantine 2, École Centrale d'Électronique, Angel Kanchev University of Ruse

Language: English

Topic: Telemedicine and Telehealth Implementation

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,896