Auxílio na prevenção de doenças crônicas por meio de mapeamento e relacionamento conceitual de informações em biomedicina / Support in the Prevention of Chronic Diseases by means of Mapping and Conceptual Relationship of Biomedical Information

AUTOR(ES)
FONTE

IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia

DATA DE PUBLICAÇÃO

28/11/2011

RESUMO

Genomic medicine has suggested that the exposure to risk factors since conception may influence gene expression and consequently induce the development of chronic diseases in adulthood. Scientific papers bringing up these discoveries indicate that epigenetics must be exploited to prevent diseases of high prevalence, such as cardiovascular diseases, diabetes and obesity. A large amount of scientific information burdens health care professionals interested in being updated, once searches for accurate information become complex and expensive. Some computational techniques might support management of large biomedical information repositories and discovery of knowledge. This study presents a framework to support surveillance systems to alert health professionals about human development problems, retrieving scientific papers that relate chronic diseases to risk factors detected on a patient\ s clinical record. As a contribution, healthcare professionals will be able to create a routine with the family, setting up the best growing conditions. According to Butte, the effective transformation of results from biomedical research into knowledge that actually improves public health has been considered an important domain of informatics and has been called Translational Bioinformatics. Since chronic diseases are a serious health problem worldwide and leads the causes of mortality with 60% of all deaths, this scientific investigation will probably enable results from bioinformatics researches to directly benefit public health.

ASSUNTO(S)

bioinformática translacional chronic diseases cross-language information retrieval (clir) doenças crônicas epigenetic factors fatores epigenéticos informática biomédica information retrieval medical informatics mineração de textos natural language processing processamento de linguagem natural recuperação de informação recuperação de informação inter-lingual text mining translational bioinformatics

ACESSO AO ARTIGO

Documentos Relacionados