HealthTranslator: automatic annotation of Web documents in order to assist health consumer's searches

The Web is now one of the main sources of health related information. However, health consumers do not always easily understand the retrieved information, mainly because of a significant gap between terminologies used by laypeople and medical experts. This work presents a tool, available as Google C...

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Bibliographic Details
Main Author: Hugo Miguel Ribeiro de Sousa (author)
Format: masterThesis
Language:eng
Published: 2016
Subjects:
Online Access:https://repositorio-aberto.up.pt/handle/10216/85756
Country:Portugal
Oai:oai:repositorio-aberto.up.pt:10216/85756
Description
Summary:The Web is now one of the main sources of health related information. However, health consumers do not always easily understand the retrieved information, mainly because of a significant gap between terminologies used by laypeople and medical experts. This work presents a tool, available as Google Chrome extension, that helps users to overcome the difficulties they face when reading health Web documents. It provides automatic annotation of medical concepts in Web documents with additional information, such as concept definition, relationships with related concepts or linkage to external resources. Both Portuguese and English languages will be supported. In order to evaluate the developed solution, its' annotation will be compared with Portuguese and an English corpus. While the first one will be manually annotated, the latter is an automatic annotation performed by a similar extension, named Medical Translator. A user study will also be conducted, in order to understand their opinion and evaluate the tool utility. It is also presented the planning for the dissertation, in order to achieve the defined goals.