[HTML][HTML] Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Precision Medicine implies a deep understanding of inter-individual differences in health
and disease that are due to genetic and environmental factors. To acquire such …
and disease that are due to genetic and environmental factors. To acquire such …
A survey on recent advances in named entity recognition from deep learning models
Named Entity Recognition (NER) is a key component in NLP systems for question
answering, information retrieval, relation extraction, etc. NER systems have been studied …
answering, information retrieval, relation extraction, etc. NER systems have been studied …
The BioGRID interaction database: 2019 update
R Oughtred, C Stark, BJ Breitkreutz, J Rust… - Nucleic acids …, 2019 - academic.oup.com
Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the curation and archival …
https://thebiogrid. org) is an open access database dedicated to the curation and archival …
Constructing datasets for multi-hop reading comprehension across documents
Abstract Most Reading Comprehension methods limit themselves to queries which can be
answered using a single sentence, paragraph, or document. Enabling models to combine …
answered using a single sentence, paragraph, or document. Enabling models to combine …
[HTML][HTML] Bidirectional RNN for medical event detection in electronic health records
AN Jagannatha, H Yu - Proceedings of the conference. Association …, 2016 - ncbi.nlm.nih.gov
Sequence labeling for extraction of medical events and their attributes from unstructured text
in Electronic Health Record (EHR) notes is a key step towards semantic understanding of …
in Electronic Health Record (EHR) notes is a key step towards semantic understanding of …
2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
Abstract The 2010 i2b2/VA Workshop on Natural Language Processing Challenges for
Clinical Records presented three tasks: a concept extraction task focused on the extraction …
Clinical Records presented three tasks: a concept extraction task focused on the extraction …
MINT, the molecular interaction database: 2012 update
Abstract The Molecular INTeraction Database (MINT, http://mint. bio. uniroma2. it/mint/) is a
public repository for protein–protein interactions (PPI) reported in peer-reviewed journals …
public repository for protein–protein interactions (PPI) reported in peer-reviewed journals …
TaggerOne: joint named entity recognition and normalization with semi-Markov Models
Motivation: Text mining is increasingly used to manage the accelerating pace of the
biomedical literature. Many text mining applications depend on accurate named entity …
biomedical literature. Many text mining applications depend on accurate named entity …
[图书][B] Natural language processing with Python: analyzing text with the natural language toolkit
This book offers a highly accessible introduction to natural language processing, the field
that supports a variety of language technologies, from predictive text and email filtering to …
that supports a variety of language technologies, from predictive text and email filtering to …
DNorm: disease name normalization with pairwise learning to rank
Motivation: Despite the central role of diseases in biomedical research, there have been
much fewer attempts to automatically determine which diseases are mentioned in a text …
much fewer attempts to automatically determine which diseases are mentioned in a text …