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Information extraction from electronic medical documents: state of the art and future research directions
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 …
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
Currently, medical institutes generally use EMR to record patient's condition, including
diagnostic information, procedures performed, and treatment results. EMR has been …
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 …
generation sequencing technologies and rapid growth in biomedical publication has led to …
The CHEMDNER corpus of chemicals and drugs and its annotation principles
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 …
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 …
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …
tmChem: a high performance approach for chemical named entity recognition and normalization
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 …
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 …
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
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 …
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
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 …
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
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 …
Shared Task 2011: the main tasks on Infectious Diseases (ID) and Epigenetics and Post …