Named entity recognition and relation detection for biomedical information extraction
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …
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 …
Radgraph: Extracting clinical entities and relations from radiology reports
S Jain, A Agrawal, A Saporta, SQH Truong… - ar** the relationship between information technology and mental healthcare
Background E-mental healthcare is the convergence of digital technologies with mental
health services. It has been developed to fill a gap in healthcare for people who need mental …
health services. It has been developed to fill a gap in healthcare for people who need mental …
A bidirectional LSTM and conditional random fields approach to medical named entity recognition
Medical named entity recognition is a fundamental and essential research for medical
natural language possessing, aiming to identifying medical concepts or terminology such as …
natural language possessing, aiming to identifying medical concepts or terminology such as …
Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype
To derive meaningful insights from voluminous healthcare data, it is essential to convert it
into machine understandable knowledge. Currently, machine understandable domain …
into machine understandable knowledge. Currently, machine understandable domain …