Ontology highlight
ABSTRACT:
SUBMITTER: Giannaris PS
PROVIDER: S-EPMC7045509 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Giannaris Pericles S PS Al-Taie Zainab Z Kovalenko Mikhail M Thanintorn Nattapon N Kholod Olha O Innokenteva Yulia Y Coberly Emily E Frazier Shellaine S Laziuk Katsiarina K Popescu Mihail M Shyu Chi-Ren CR Xu Dong D Hammer Richard D RD Shin Dmitriy D
Journal of pathology informatics 20200211
<h4>Background</h4>Free-text sections of pathology reports contain the most important information from a diagnostic standpoint. However, this information is largely underutilized for computer-based analytics. The vast majority of NLP-based methods lack a capacity to accurately extract complex diagnostic entities and relationships among them as well as to provide an adequate knowledge representation for downstream data-mining applications.<h4>Methods</h4>In this paper, we introduce a novel inform ...[more]