Information extraction from electronic medical documents: state of the art and future research directions

MY Landolsi, L Hlaoua, L Ben Romdhane - Knowledge and Information …, 2023 - Springer
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …

Data processing and text mining technologies on electronic medical records: a review

W Sun, Z Cai, Y Li, F Liu, S Fang… - Journal of healthcare …, 2018 - Wiley Online Library
Currently, medical institutes generally use EMR to record patient's condition, including
diagnostic information, procedures performed, and treatment results. EMR has been …

Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives

J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …

The CHEMDNER corpus of chemicals and drugs and its annotation principles

M Krallinger, O Rabal, F Leitner, M Vazquez… - Journal of …, 2015 - Springer
The automatic extraction of chemical information from text requires the recognition of
chemical entity mentions as one of its key steps. When develo** supervised named entity …

Community challenges in biomedical text mining over 10 years: success, failure and the future

CC Huang, Z Lu - Briefings in bioinformatics, 2016 - academic.oup.com
One effective way to improve the state of the art is through competitions. Following the
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …

tmChem: a high performance approach for chemical named entity recognition and normalization

R Leaman, CH Wei, Z Lu - Journal of cheminformatics, 2015 - Springer
Chemical compounds and drugs are an important class of entities in biomedical research
with great potential in a wide range of applications, including clinical medicine. Locating …

[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 …

Recent advances and emerging applications in text and data mining for biomedical discovery

GH Gonzalez, T Tahsin, BC Goodale… - Briefings in …, 2016 - academic.oup.com
Precision medicine will revolutionize the way we treat and prevent disease. A major barrier
to the implementation of precision medicine that clinicians and translational scientists face is …

[HTML][HTML] BioC: a minimalist approach to interoperability for biomedical text processing

DC Comeau, R Islamaj Doğan, P Ciccarese… - Database, 2013 - academic.oup.com
A vast amount of scientific information is encoded in natural language text, and the quantity
of such text has become so great that it is no longer economically feasible to have a human …

Overview of the ID, EPI and REL tasks of BioNLP Shared Task 2011

S Pyysalo, T Ohta, R Rak, D Sullivan, C Mao… - BMC …, 2012 - Springer
We present the preparation, resources, results and analysis of three tasks of the BioNLP
Shared Task 2011: the main tasks on Infectious Diseases (ID) and Epigenetics and Post …