Lanz Angelo P. Del Rosario
StudentI am Lanz Angelo Del Rosario
Quezon, Metro Manila · FEU Institute of Technology
Personal Information
Short Biography
I am Lanz Angelo Del Rosario a BSIT-WMA student at FEU Tech
🛠️ Skills
Computer Networking
Beginner (60%)
Cybersecurity
Novice (50%)
Web Development
Advanced (75%)
Mobile Development
Competent (70%)
🎓 Educational Qualification
Tertiary · Aug 2018 - Present
Bachelor of Science in Information Technology
Web and Mobile Application Development · FEU Institute of Technology
📜 Licenses and Certifications
DevNet Associate
Issued by Cisco Networking Academy on July 29, 2023
Research Publications
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Conference Paper · 10.1109/hnicem64917.2024.11258829
ASDvisor: An App-Based Management Platform with Care Decision Support System for Children with Autism2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2024), pp. 1-6
Caring for a child with Autism Spectrum Disorder (ASD) presents numerous challenges for parents, often leading to psychological distress, depression, anxiety, and other health issues. Understanding and addressing the various behaviors exhibited by children with ASD can be particularly difficult. Despite advancements in the diagnosis and treatment of ASD, many families still struggle to access specialized care and support. To address these challenges, we developed ASDvisor, an innovative application designed to provide comprehensive support for parents of children with ASD. ASDvisor integrates valuable information, efficient documentation, decision support, educational resources, data tracking tools, and enhanced communication to improve the management of ASD care through a user-friendly web and mobile platform. The system's quality was evaluated using the FURPS model, which evaluates functionality, usability, reliability, performance, and supportability of the system. ASDvisor received excellent ratings, scoring 4.33 for the web application and 4.37 for the mobile application. Key findings highlighted the application's robust performance in tracking and managing ASD-related activities, offering valuable decision support through its Care Decision module, and fostering community engagement among users. ASDvisor effectively addresses the identified challenges, providing a reliable, efficient, and cost-effective tool for enhancing the quality of life for children with ASD and their families. This research demonstrates the potential for technology to significantly improve ASD care management.