Results 261 to 270 of about 1,864,069 (342)

Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study.

JMIR Med Inform
Gosselin L, Maes A, Eyer K, Dahamna B, Disson F, Darmoni S, Wils J, Grosjean J.   +7 more
europepmc   +1 more source

Integrating Social Determinants of Health in Machine Learning-Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study.

JMIR Res Protoc
Lee SY, Hayes LW, Ozaydin B, Howard S, Garretson AM, Bradley HM, Land AM, DeLaney EW, Pritchett AO, Furr AL, Allgood A, Wyatt MC, Hall AG, Banaszak-Holl JC.   +13 more
europepmc   +1 more source

Use of an Integrated Health Data Warehouse to Measure the Employer Costs of Five Chronic Disease States

Disease Management, 1998
Health data warehouses are being developed to integrate a wide variety of databases including personnel and medical claims (inpatient, outpatient, and pharmacy), disability, absenteeism, and health-risk appraisals. This exciting technology can be very helpful in the design, implementation, and evaluation of disease management programs.
Wayne N. Burton, Daniel J. Conti
semanticscholar   +4 more sources

Measuring user satisfaction with data warehouses: an exploratory study [PDF]

Information & Management, 2000
Data warehouses are users driven; that is, they allow end-users to be in control of the data. As user satisfaction is commonly acknowledged as the most useful measurement of system success, we identify the underlying factors of end-user satisfaction with data warehouses and develop an instrument to measure these factors.
Leida Chen, Khalid S. Soliman, En Mao, Mark N. Frolick   +3 more
openalex   +2 more sources

Measures for ETL processes models in data warehouses

Proceedings of the first international workshop on Model driven service engineering and data quality and security, 2009
In data warehousing, ETL (Extract, Transform, and Load)processes take charge of extracting the data from data sources that would be contained in the data warehouse. Due to their relevance, the quality of these processes should be formally assessed since the early stages of development, in order to avoid making bad decisions as a result of incorrect ...
Lilia Múñoz, José-Norberto Mazón, Juan Trujillo   +2 more
openalex   +3 more sources

Development and Evaluation of Measuring Parameters for Data Warehouse

2009 International Conference on Future Computer and Communication, 2009
Data Mining and warehousing is very challenging and interesting field in Computer Science and Information Technology. This field is still in its infant stage and thus a limited documentation on Data Warehousing processes available. As we know that now a days the definition of Educational Institutions are going to be changed and they are now being taken
Ilyas Khan, Vijay Anant Athavale, Shiv Kumar, Neetesh Gupta   +3 more
openalex   +3 more sources

Using Ontologies for Measuring Semantic Similarity in Data Warehouse Schema Matching Process

2007 9th International Conference on Telecommunications, 2007
The key step of data warehouse integration is the construction of mappings that link mutually compatible components of data warehouse schemas: dimensions, aggregation levels, attributes and facts. In order to perform the integration process in a semi-automated manner, we must define similarity functions that compare the names and substructures of those
Marko Banek, Boris Vrdoljak, A Min Tjoa
  +6 more sources