Exploiting Home Infrastructure Data for the Good: Emergency Detection by Reusing Existing Data Sources

2021 ◽  
pp. 51-58
Author(s):  
Sebastian Wilhelm
Keyword(s):  
Data Sources ◽  
Emergency Detection ◽  
Existing Data

scholarly journals Existing Data Sources for Clinical Epidemiology: The PHARMO Database Network

2020 ◽  
Vol Volume 12 ◽  
pp. 415-422 ◽  
Author(s):  
Josephina G Kuiper ◽  
Marina Bakker ◽  
Fernie JA Penning-van Beest ◽  
Ron MC Herings
Keyword(s):  
Clinical Epidemiology ◽  
Data Sources ◽  
Existing Data

scholarly journals Evaluating the Use of Existing Data Sources, Probabilistic Linkage, and Multiple Imputation to Build Population-based Injury Databases Across Phases of Trauma Care

2012 ◽  
Vol 19 (4) ◽  
pp. 469-480 ◽  
Author(s):  
Craig Newgard ◽  
Susan Malveau ◽  
Kristan Staudenmayer ◽  
N. Ewen Wang ◽  
Renee Y. Hsia ◽  
...  
Keyword(s):  
Multiple Imputation ◽  
Trauma Care ◽  
Population Based ◽  
Data Sources ◽  
Probabilistic Linkage ◽  
Existing Data

scholarly journals Existing data sources for clinical epidemiology: the Danish Quality Database of Mammography Screening

2013 ◽  
pp. 81 ◽  
Author(s):  
Vivian Langagergaard ◽  
Garne ◽  
Vejborg ◽  
Schwartz ◽  
Bak ◽  
...  
Keyword(s):  
Mammography Screening ◽  
Clinical Epidemiology ◽  
Data Sources ◽  
Existing Data

scholarly journals Existing Data Sources in Clinical Epidemiology: The Taiwan National Health Insurance Laboratory Databases

2021 ◽  
Vol Volume 13 ◽  
pp. 175-181
Author(s):  
Po-Chang Lee ◽  
Feng-Yu Kao ◽  
Fu-Wen Liang ◽  
Yi-Chan Lee ◽  
Sheng-Tun Li ◽  
...  
Keyword(s):  
Health Insurance ◽  
National Health Insurance ◽  
National Health ◽  
Clinical Epidemiology ◽  
Data Sources ◽  
Taiwan National Health Insurance ◽  
Existing Data

A New Approach to Generate Hospital Data Warehouse Schema

2016 ◽  
pp. 84-115 ◽  
Author(s):  
Nouha Arfaoui ◽  
Jalel Akaichi
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Information Exchange ◽  
Data Sources ◽  
Healthcare Industry ◽  
Schema Integration ◽  
Hospital Data ◽  
New Approach ◽  
Similar Elements ◽  
Existing Data

The healthcare industry generates huge amount of data underused for decision making needs because of the absence of specific design mastered by healthcare actors and the lack of collaboration and information exchange between the institutions. In this work, a new approach is proposed to design the schema of a Hospital Data Warehouse (HDW). It starts by generating the schemas of the Hospital Data Mart (HDM) one for each department taking into consideration the requirements of the healthcare staffs and the existing data sources. Then, it merges them to build the schema of HDW. The bottom-up approach is suitable because the healthcare departments are separately. To merge the schemas, a new schema integration methodology is used. It starts by extracting the similar elements of the schemas and the conflicts and presents them as mapping rules. Then, it transforms the rules into queries and applies them to merge the schemas.

Adapting Existing Data Sources

2017 ◽  
pp. 182-185
Author(s):  
Philipp Sebastian Angermeyer
Keyword(s):  
Data Sources ◽  
Existing Data

Towards a Problem Solving Environment for Scholarly Communication Research

2013 ◽  
Author(s):  
Dangzhi Zhao ◽  
Andreas Strotmann
Keyword(s):  
Problem Solving ◽  
Scholarly Communication ◽  
Problem Area ◽  
Data Sources ◽  
Communication Research ◽  
Résolution De Problèmes ◽  
Problem Solving Environment ◽  
Existing Data

We explore the need for and the architecture of a Problem Solving Environment (PSE) for scholarly communication research through an examination of the problem area it addresses, the problem solving processes that scholarly communication researchers commonly employ, and the existing data sources for this type of research.Nous explorons l’architecture et le besoin pour un environnement de résolution de problèmes (ERP) pour la communication de recherches universitaires par l’examen de l’étendue du problème qu’il soulève, le processus de résolution du problème que la communication des recherches universitaires généralement utilise et les sources de données qui existent pour ce type de recherche. 

A Survey of Data Warehouse Model Evolution

2009 ◽  
pp. 129-136
Author(s):  
Cécile Favre ◽  
Fadila Bentayeb ◽  
Omar Boussaid
Keyword(s):  
Data Warehouse ◽  
Data Warehousing ◽  
Business Environment ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Future Trends ◽  
Model Evolution ◽  
Heterogeneous Data Sources ◽  
Key Points ◽  
Existing Data

A data warehouse allows the integration of heterogeneous data sources for analysis purposes. One of the key points for the success of the data warehousing process is the design of the model according to the available data sources and the analysis needs (Nabli, Soussi, Feki, Ben-Abdallah & Gargouri, 2005). However, as the business environment evolves, several changes in the content and structure of the underlying data sources may occur. In addition to these changes, analysis needs may also evolve, requiring an adaptation to the existing data warehouse’s model. In this chapter, we provide an overall view of the state of the art in data warehouse model evolution. We present a set of comparison criteria and compare the various works. Moreover, we discuss the future trends in data warehouse model evolution.

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