Sentence examples for organization datasets from inspiring English sources

Although evaluating vaccine effectiveness (VE) is important for promoting immunization programs and coping with influenza epidemics, it is difficult to evaluate its effectiveness in Japan, where no frameworks to use large databases, such as a vaccination registry and health maintenance organization datasets, are available.

Others have analyzed SEER data over a shorter period [ 17] or draw on the unique resources of the California tumor registry and health maintenance organization datasets [ 18] to show similar relations between change in hormone therapy and a decrease in breast cancer incidence.

Decision trees are one among interesting and commonly encountered architectures used for learning, reasoning and organization of datasets.

For those interested in having their organization's dataset featured, or to provide feedback and requests for new entries, contact [email protected].

For many organizations, petabyte datasets have already become the norm, and the capability of data-intensive computing is a necessity instead of a luxury.

Process level: If within or among certain organizations two datasets need to be merged, we can first study the interoperability of the processes: each dataset is a result of a certain creation process.

Data interoperability issues can occur at different levels [2], EC [5]: Process level: If within or among certain organizations two datasets need to be merged, we can first study the interoperability of the processes: each dataset is a result of a certain creation process.

The findings may not be generalizable to other health care settings (health maintenance organizations) and datasets (Medicare) and/or to other musculoskeletal conditions.

For the organization of chemical datasets we have chosen a combination of Murcko fragmentation [2], ring extraction and iterative substructure searches resulting in a hierarchy of fragments which grow larger with increasing levels or depth.

In this section, we first provide some background on the organization of tomographic datasets and iterative reconstruction techniques, and then, we present the components and execution flow of our middleware.

Our evaluations showed that data potentially related to understanding marine species' phenology are available through online resources of governmental, academic, and non-governmental organizations, but appropriate datasets are often difficult to discover and access, presenting opportunities for scientific infrastructure improvement.