Journal article

BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics

Qingyu Chen, Nagesh C Panyam, Aparna Elangovan, Karin Verspoor

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | OXFORD UNIV PRESS | Published : 2018

Abstract

Precision medicine aims to provide personalized treatments based on individual patient profiles. One critical step towards precision medicine is leveraging knowledge derived from biomedical publications-a tremendous literature resource presenting the latest scientific discoveries on genes, mutations and diseases. Biomedical natural language processing (BioNLP) plays a vital role in supporting automation of this process. BioCreative VI Track 4 brings community effort to the task of automatically identifying and extracting protein-protein interactions (PPi) affected by mutations (PPIm), important in the precision medicine context for capturing individual genotype variation related to disease.W..

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