[HTML][HTML] Biomedical text mining and its applications in cancer research

F Zhu, P Patumcharoenpol, C Zhang, Y Yang… - Journal of biomedical …, 2013 - Elsevier
Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …

A modular framework for biomedical concept recognition

D Campos, S Matos, JL Oliveira - BMC bioinformatics, 2013 - Springer
Background Concept recognition is an essential task in biomedical information extraction,
presenting several complex and unsolved challenges. The development of such solutions is …

Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers

YH Liu, N Wacholder - Information Processing & Management, 2017 - Elsevier
To what extent do MeSH terms improve search effectiveness for different kinds of users? We
observed four different kinds of information seekers using an experimental information …

PESCADOR, a web-based tool to assist text-mining of biointeractions extracted from PubMed queries

A Barbosa-Silva, JF Fontaine, ER Donnard, F Stussi… - BMC …, 2011 - Springer
Background Biological function is greatly dependent on the interactions of proteins with
other proteins and genes. Abstracts from the biomedical literature stored in the NCBI's …

pubmed2ensembl: a resource for mining the biological literature on genes

J Baran, M Gerner, M Haeussler, G Nenadic… - PloS one, 2011 - journals.plos.org
Background The last two decades have witnessed a dramatic acceleration in the production
of genomic sequence information and publication of biomedical articles. Despite the fact that …

Linked data-based concept recommendation: Comparison of different methods in open innovation scenario

D Damljanovic, M Stankovic, P Laublet - … , Crete, Greece, May 27-31, 2012 …, 2012 - Springer
Abstract Concept recommendation is a widely used technique aimed to assist users to
chose the right tags, improve their Web search experience and a multitude of other tasks. In …

Watershed segmentation algorithm based on morphological gradient reconstruction

B Han - 2015 2nd International conference on information …, 2015 - ieeexplore.ieee.org
In order to overcome the problem of over-segmentation, a novel algorithm of watershed
segmentation based on morphological gradient reconstructing is proposed in this paper. In …

A supervised term ranking model for diversity enhanced biomedical information retrieval

B Xu, H Lin, L Yang, K Xu, Y Zhang, D Zhang, Z Yang… - BMC …, 2019 - Springer
Background The number of biomedical research articles have increased exponentially with
the advancement of biomedicine in recent years. These articles have thus brought a great …

Learning to refine expansion terms for biomedical information retrieval using semantic resources

B Xu, H Lin, Y Lin - IEEE/ACM transactions on computational …, 2018 - ieeexplore.ieee.org
With the rapid development of biomedicine, the number of biomedical articles has increased
accordingly, which presents a great challenge for biologists trying to keep up with the latest …

Learning to reformulate long queries for clinical decision support

L Soldaini, A Yates, N Goharian - Journal of the Association for …, 2017 - Wiley Online Library
The large volume of biomedical literature poses a serious problem for medical
professionals, who are often struggling to keep current with it. At the same time, many health …