SuperCaly is a mobile application, capable of assisting people to manage their everyday activities, by providing an environment where they can update, view and search various activities (going somewhere, taking photos, chatting with friends, etc) in form of calendar events.
This project is aimed at identifying and enhancing the workflow of data synced on a mobile phone device for the application mUzima - an OpenMRS client for the Android platform. The project required to improve the core OpenMRS platform and to modify the existing data model to store expanded details for a Cohort of patients. The expanded Cohort details included the membership period for which a patient belonged to a particular Cohort. This inclusion of membership provided a basis for enhancing the data synchronization method for the Android client mUzima.
Considering advances in quality and affordability of the wearable sensors, this project aims to build sensor based Android application to test how well the wearable sensors work in specific application. Chosen application is a basketball coaching application where coach would be able to define drill and then test how each one of the players performs the drill by collecting signals from player’s wearable senor. The “drill score” is measured by how closely player followed the predefined path.
Atlas-guided segmentation is one of the current state-of-the-art multi-organ segmentation algorithms. However, previous studies have not discussed and handled cases with surgically removed organs (missing organs). From the clinical aspect, demands for handling such cases are high because surgical removals are common procedures for cancers or organ failures and those populations need more attentions for follow-up examination. Therefore, the clinical applications could not ignore the populations.
According to the California Highway Patrol, over the ten year span from 2002 to 2012, there were more than 143,000 bicycle accidents in the state of California. In this article, we study the bicycle-involved accidents over these years in California. Our main objective is to explore and identify the relationship between various accident-contributing factors (e.g. age, location and time) and accident severity.