Natural language processing basics
N Arivazhagan, TT Van Vleck - … Journal of the American Society of …, 2023 - journals.lww.com
Nephrology practice and research frequently require computational analysis of patient facts
documented only in past clinical notes, ranging from the identification of basic facts such as …
documented only in past clinical notes, ranging from the identification of basic facts such as …
An overview of the active gene annotation corpus and the BioNLP OST 2019 AGAC track tasks
The active gene annotation corpus (AGAC) was developed to support knowledge discovery
for drug repurposing. Based on the corpus, the AGAC track of the BioNLP Open Shared …
for drug repurposing. Based on the corpus, the AGAC track of the BioNLP Open Shared …
The treasury chest of text mining: piling available resources for powerful biomedical text mining
NÍ Rosário-Ferreira, C Marques-Pereira, M Pires… - BioChem, 2021 - mdpi.com
Text mining (TM) is a semi-automatized, multi-step process, able to turn unstructured into
structured data. TM relevance has increased upon machine learning (ML) and deep …
structured data. TM relevance has increased upon machine learning (ML) and deep …
HPO-Shuffle: an associated gene prioritization strategy and its application in drug repurposing for the treatment of canine epilepsy
Epilepsy is a common neurological disorder that affects mammalian species including
human beings and dogs. In order to discover novel drugs for the treatment of canine …
human beings and dogs. In order to discover novel drugs for the treatment of canine …
Biomedical information extraction for disease gene prioritization
We introduce a biomedical information extraction (IE) pipeline that extracts biological
relationships from text and demonstrate that its components, such as named entity …
relationships from text and demonstrate that its components, such as named entity …
Oblivious subspace embeddings for compressed Tucker decompositions
Emphasis in the tensor literature on random embeddings (tools for low-distortion dimension
reduction) for the canonical polyadic (CP) tensor decomposition has left analogous results …
reduction) for the canonical polyadic (CP) tensor decomposition has left analogous results …
Drug knowledge discovery via multi-task learning and pre-trained models
Background Drug repurposing is to find new indications of approved drugs, which is
essential for investigating new uses for approved or investigational drug efficiency. The …
essential for investigating new uses for approved or investigational drug efficiency. The …
A semantic relationship mining method among disorders, genes, and drugs from different biomedical datasets
Background Semantic web technology has been applied widely in the biomedical
informatics field. Large numbers of biomedical datasets are available online in the resource …
informatics field. Large numbers of biomedical datasets are available online in the resource …
Hybrid phenotype mining method for investigating off-target protein and underlying side effects of anti-tumor immunotherapy
Y Zheng, X Meng, P Zweigenbaum, L Chen… - BMC Medical Informatics …, 2020 - Springer
Background It is of utmost importance to investigate novel therapies for cancer, as it is a
major cause of death. In recent years, immunotherapies, especially those against immune …
major cause of death. In recent years, immunotherapies, especially those against immune …
DeepGeneMD: a joint deep learning model for extracting gene mutation-disease knowledge from PubMed literature
F Liu, X Zheng, B Wang, C Kiefe - … of the 5th Workshop on BioNLP …, 2019 - aclanthology.org
Understanding the pathogenesis of genetic diseases through different gene activities and
their relations to relevant diseases is important for new drug discovery and drug …
their relations to relevant diseases is important for new drug discovery and drug …