AIMC Topic: PubMed
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Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology.
EBioMedicine
Jun 18, 2020
BACKGROUND: Adverse drug reactions (ADRs) are one of the leading causes of morbidity and mortality in health care. Understanding which drug targets are linked to ADRs can lead to the development of safer medicines.
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records.
BMC medical informatics and decision making
Apr 30, 2020
BACKGROUND: Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and models are limited in biomedical...
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.
PLoS computational biology
Apr 23, 2020
A massive number of biological entities, such as genes and mutations, are mentioned in the biomedical literature. The capturing of the semantic relatedness of biological entities is vital to many biological applications, such as protein-protein inter...
Artificial Intelligence (AI) applications for COVID-19 pandemic.
Diabetes & metabolic syndrome
Apr 14, 2020
BACKGROUND AND AIMS: Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role o...
Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed.
Journal of medical Internet research
Jan 23, 2020
BACKGROUND: Natural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and increasing i...
PGxCorpus, a manually annotated corpus for pharmacogenomics.
Scientific data
Jan 2, 2020
Pharmacogenomics (PGx) studies how individual gene variations impact drug response phenotypes, which makes PGx-related knowledge a key component towards precision medicine. A significant part of the state-of-the-art knowledge in PGx is accumulated in...
Association extraction from biomedical literature based on representation and transfer learning.
Journal of theoretical biology
Dec 25, 2019
Extracting biological relations from biomedical literature can deliver personalized treatment to individual patients based on their genomic profiles. In this paper, we present a novel sentence-level attention-based deep neural network to predict the ...
SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions.
Artificial intelligence in medicine
Nov 28, 2019
BACKGROUND AND OBJECTIVE: Question answering (QA), the identification of short accurate answers to users questions written in natural language expressions, is a longstanding issue widely studied over the last decades in the open-domain. However, it s...
Disease phenotype synonymous prediction through network representation learning from PubMed database.
Artificial intelligence in medicine
Nov 19, 2019
Synonym mapping between phenotype concepts from different terminologies is difficult because terminology databases have been developed largely independently. Existing maps of synonymous phenotype concepts from different terminology databases are high...
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes.
Journal of biomedical semantics
Nov 12, 2019
BACKGROUND: Deep Learning opens up opportunities for routinely scanning large bodies of biomedical literature and clinical narratives to represent the meaning of biomedical and clinical terms. However, the validation and integration of this knowledge...
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