Text mining for literature review and knowledge discovery in cancer risk assessment and research.

ABSTRACT: Research in biomedical text mining is starting to produce technology which can make information in biomedical literature more accessible for bio-scientists. One of the current challenges is to integrate and refine this technology to support real-life scientific tasks in biomedicine, and to evaluate its usefulness in the context of such tasks. We describe CRAB - a fully integrated text mining tool designed to support chemical health risk assessment. This task is complex and time-consuming, requiring a thorough review of existing scientific data on a particular chemical. Covering human, animal, cellular and other mechanistic data from various fields of biomedicine, this is highly varied and therefore difficult to harvest from literature databases via manual means. Our tool automates the proc

SUBMITTER: Korhonen A 

PROVIDER: S-EPMC3325219 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature