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Biomedical Engineering – From Theory to Applications

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14<br />

Semantic<br />

Networks<br />

analysis<br />

<strong>Biomedical</strong> <strong>Engineering</strong> <strong>–</strong> <strong>From</strong> <strong>Theory</strong> <strong>to</strong> <strong>Applications</strong><br />

To perform text mining, it must be structured (pre-processing) <strong>to</strong> analyze<br />

texts or discovering interesting patterns that generate new knowledge<br />

(Krallinger et al., 2008). Depending on the methods used in the preprocessing<br />

is the type of representation of the contents of the texts<br />

constructed, and according <strong>to</strong> this representation, is the kind of patterns<br />

discovered (Harms<strong>to</strong>n et al., 2010).<br />

Based on the on<strong>to</strong>logies, that formulate a conceptual scheme (a map of<br />

concepts and their relationships) in a given domain, the semantic<br />

expresses the meaning of data, the properties of objects and the complex<br />

relationships between them by a series of formal rules (Robu et al., 2006).<br />

Networks are open structures that can expand without limit of integration<br />

of new nodes based on the communication possibilities that exist in your<br />

environment and share communications code compatible.<br />

It is done through the study of theories of structural behavior, the<br />

dynamics, and influence within the biomedical issues, <strong>to</strong> establish a likely<br />

explanation for the growth and evolution of real networks in any<br />

advanced biomedical subject.<br />

Table 6. Most frequent literature au<strong>to</strong>matic meta-analysis methods.<br />

Right now exist dozens of scholar free web programs that process literature with one or<br />

more bibliographic meta-analysis methods. Most of those resources are based on PubMed<br />

literature because it is open access records, normalized and robustness information. For this<br />

chapter we choose some of them for details, a list with most of them is in Append.<br />

2.3.1 Bibliometric analysis<br />

HubMed<br />

HubMed (http://www.hubmed.org/) retrieval information from the PubMed´s database<br />

and produces one interface focused basically on browsing, organizing and gathering<br />

information from the biomedical literature. Shows the results arranged by relevance, you<br />

can perform grouping and graphic representation of related articles, can export metadata in<br />

different formats for further analysis.<br />

Twease<br />

Twease is a web-based <strong>to</strong>ol <strong>to</strong> search in the abstracts for Medline. Index the words of<br />

Medline and provides features <strong>to</strong> expand a query and thereby find what you are looking for.<br />

Finally, Twease can au<strong>to</strong>matically discover common abbreviations for search phrases.

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