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Data clustering, one of the most important techniques in data mining, aims to group unlabeled data into different groups on the basis of similarities and dissimilarities between the data elements.
The sole difference is that its structure will be based on only the structure of the relationships between the data elements.
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With collapsing of adjacent ordered categories, there is loss of item information which may affect the magnitude of the correlation coefficients between items, the data elements utilized in factor analysis.
This approach makes a clear distinction between the abstract definitions and implementation dependent parts of the data elements.
If the applications share the machine-processable definitions of the data elements and there are established links between data elements of different domains (i.e., clinical research and patient care domains), this can be used to facilitate automatic access to data across different domains.
Several of the EHR4CR data providers also shifted the dates of the data elements within their EHR4CR data warehouses between zero and 365 days.
The data elements in the web thus represent real-world entities and the links between data elements embody the logical relations between those entities.
Although the number of respondents was fair (between 37 and 39 depending on the data element), certain data elements had to be added or redefined based on an internal review by some of our lab members, which might have created some bias towards the needs of our lab rather than a general consensus in the community.
The diversity of methods involved in patient screening and sample processing generates a variety of data types that require a resource-oriented architecture to capture the associations between the heterogeneous data elements.
Indeed, the normalization process is necessary for algorithms that are based on the distance between data elements, such as the KNN algorithm.
The result is a network of linked data that can be exploited by computers: by following the links between data elements, jumping from data set to data set; by querying the whole network, and thus providing an answer based on otherwise independent data sets; and by reasoning over the data, based on its formal representation, thus identifying new implicit connections between data elements [ 11].
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