Binh Thanh Nguyen

Financial burden of health care for HIV/AIDS patients in Vietnam

To assess the out‐of‐pocket (OOP) payments for health‐care services of HIV/AIDS patients, and identify associated factors in Vietnam.

Collective intelligent toolbox based on linked model framework

A collective intelligent toolbox has been studied and developed to co-operate multi complex related information systems based on a linked model framework. First the linked model framework is defined in a very formal manner. The mathematic abstract specification provides the basis for handling data exchange among various linked models as well as data from those models integrated into a data warehouse. In this context, an ETL (extracting-transforming-loading) process has been defined. Hereafter, the collective intelligent toolbox is developed based on the multidimensional database stored in the data warehouse. To approve of our concepts, a sectoral linked model framework with its collective intelligent toolbox will be presented as a practical case study. Several typical examples of the extracted-transformed-linked and published key data are represented.

Cloud-Based Data Warehousing Application Framework for Modeling Global and Regional Data Management Systems

In this paper, a Cloud-based Data Warehousing Application (CDWA) Framework is proposed to handle multi levels in structures of data management systems, i.e. global data warehouse and its data marts on the clouds. First, a Cloud-based Multidimensional Model, i.e. dimensions and theirs related concepts, variables or facts, data cubes, is specified in a very formal manner. Afterwards, to fulfill global and regional specific requirements of data management systems, the Cloud-based Data Warehousing Application Framework and its classes of services are modeled by using UML (Unified Modeling Language) to design a centralized global data warehouse and its local regional data marts. In this context, an implementation example is presented in order to proof of our conceptual framework.

Collective cubing platform towards definition and analysis of warehouse cubes

Multidimensional data analysis, as supported by OLAP (online analytical processing), requires the computation of many aggregate functions over a large volume of historically collected data. Meanwhile, a recent trend in data communities has been the presence of dynamic, interdisciplinary data communities in which users can find and select data from a wide range of data providers. Using this approach, we have designed the Cubing service platform, which allows rapid retrieval of warehouse cubes in a way that would be familiar to any online shopper. In such an open marketplace, cubing services play a role as a metadata layer that maps cube definitions to the underlying schema and defines how the published cubes will be queried. The proposed platform couples an efficient cube selection mechanism with semantic reasoning capabilities, capable of processing large data sources, which expressed in a variety of formalisms, into a collection of warehouse datasets that expose the native metadata in a uniform manner. Thus, the platform is easily extensible and robust to updates of both data and metadata in the warehouse datasets.

Policy by policy analytical approach to develop GAINS-City data marts based on regional federated data warehousing framework

City-scale data marts are requested to help local policy makers to identify viable and efficient solutions. In this context, the Regional Federated Data warehousing Framework (RFDW), which has been introduced in our previous literatures, is extended and used to develop such city-scale data marts. Afterwards, a case study, namely GAINS-City China, will be presented as a city scale manifested data mart to approve our concepts.

Integrated Assessment Model on global-scale emissions of air pollutants

In order to analyse recent trends and future world emission scenarios, a global analytical tool, namely GAINS-IAM (integrated assess model), has been proposed and developed. In this context, a global-scale multidimensional data cubes has been specified and devloped based on the Semantic Collective Cubing platform, which has also been introduced in our studying literature. In order to prove of our concepts, typical examples have been illustrated to present how the GAINS-IAM system supports the development of global science-driven policies.

Towards the Development of Large-Scale Data Warehouse Application Frameworks

Facing with growing data volumes and deeper analysis requirements, current development of Business Intelligence (BI) and Data warehousing systems (DWHs) is a challenging and complicated task, which largely involves in ad-hoc integration and data re-engineering. This arises an increasing requirement for a scalable application framework which can be used for the implementation and administration of diverse BI applications in a straight forward and cost-efficient way. In this context, this paper presents a large-scale application framework for standardized BI applications, supporting the ability to define and construct data warehouse processes, new data analytics capabilities as well as to support the deployment requirements of multi scalable front-end applications. The core of the framework consists of defined metadata repositories with pre-built and function specific information templates as well as application definition. Moreover, the application framework is also based on workflow mechanisms for developing and running automatic data processing tasks. Hence, the framework is capable of offering an unified reference architecture to end users, which spans various aspects of development lifecycle and can be adapted or extended to better meet application-specific BI engineering process.

Cost-of-Illness and the Health-Related Quality of Life of Patients in the Dengue Fever Outbreak in Hanoi in 2017

Dengue fever (DF) outbreaks occur intermittently in Vietnam, and the most recent epidemic happened in 2017. However, attempts to measure the burden of DF in relation to the quality of life and the cost of treatment for patients during an epidemic period are constrained. This study explored the health-related quality of life (HRQOL) and the cost of illness among patients with dengue fever in Vietnam. A cross-sectional study was conducted in Bach Mai Hospital from September to November 2017. The EuroQol-5 dimensions-5 levels (EQ-5D-5L) was used to measure HRQOL. Cost-of illness was measured by collecting data about the direct medical cost, the non-medical cost, and the indirect cost. Among 225 patients, most of the participants experienced problems regarding mobility (62.3%), self-care (71.8%), usual activities (64.6%), and anxiety/depression (64.1%). The mean EQ-5D index was 0.66 (SD = 0.24). The median cost of illness for inpatient and outpatient groups were US

Demo: Fusing Mobile Sensors for Paper Keyboard On-the-Go

110.10 (IQR = US

Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework

4.40–1200.00) and US