Feature driven development of a smartphone based vision-aware mhealth framework

• Main Authors: Cabatuan, Melvin K., Dadios, Elmer Jose P., Gan Lim, Laurence A., Carandang, Jose Santos, Punzalan, Eric Camilo R., Enriquez, Ma. Luisa D., Erasga, Dennis S., Ples, Michael B., Teruel, Romeo, Gareza, Balintawak Sison-, De Castro, Ma. Ellenita, Carandang, Julien L., Naguib, Raouf N. G.
• Format: text
• Published: Animo Repository 2017
• Subjects: Wireless communication systems in medical care; Mobile apps; Breast—Cancer; Electrical and Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2379
• Institution: De La Salle University

Mobile health (mHealth) applications attempt to capitalize on the ubiquity and exponential growth of mobile technologies for the benefit of public health, leading to a growing research interest in devising frameworks for addressing specific or general mHealth challenges. In this context, the primary goal of this study is to present a novel smartphone-based development framework for prototyping vision-aware native mHealth applications developed using Feature Driven Development (FDD) methodology. Then, we describe a prototype mHealth educational application, 'Dibdib'* * Advocacy App for breast cancer awareness, utilizing the proposed vision-aware mHealth framework in Android platform. The results illustrate that FDD is feasible option in mHealth application development under the proposed mHealth framework. © Medwell Journals, 2017.