Challenges Smartphone’s Big Data in HealthCare Systems

Abstract

Smartphones and wearable devices offer promising perspectives for processing and collecting velocity, variety, and high-quality data in healthcare scenarios. Collecting, investigating, analyze, and mining health data to generate individual and public health rules. These rules will measure and enhance the quality of everyday life. However current health systems are limited on their local data collection. As the current big data is so underutilized is because many challenges are existing. The aim of this study was to point the challenges of smartphone big data technologies and big data.

A Proposed Model for Build a Secure Restful API to Connect between Server Side and Mobile Application Using Laravel Framework with Flutter Toolkits

“…T hese days, mobile applications are essential and widely used, and they also provide the best environment for using sensors for Internet of Things (IoT) systems, which are also widely used. [1] However, since we cannot create any application without a central data source to enable user sharing of data and resources, the computability between systems, especially client and server environments, becomes a problem. [2] Using Application Programming Interface (API) is the best solution to communicate between data sources on the server side and the applications on the client side.…”