Drug repurposing: a promising tool to accelerate the drug discovery process
Highlights•There is an emerging need for new therapies for rare diseases in a shorter time
frame.•Drug repurposing could arise from serendipitous observations or exploiting side …
frame.•Drug repurposing could arise from serendipitous observations or exploiting side …
[HTML][HTML] Utilizing social media data for pharmacovigilance: a review
Abstract Objective Automatic monitoring of Adverse Drug Reactions (ADRs), defined as
adverse patient outcomes caused by medications, is a challenging research problem that is …
adverse patient outcomes caused by medications, is a challenging research problem that is …
Cardiovascular adverse events reported from COVID-19 vaccines: a study based on WHO database
R Jeet Kaur, S Dutta, J Charan… - … journal of general …, 2021 - Taylor & Francis
Background Thirteen COVID-19 vaccines are granted emergency approval. It is crucial to
monitor their adverse events post vaccination. The present study focuses on cardiovascular …
monitor their adverse events post vaccination. The present study focuses on cardiovascular …
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features
Objective Social media is becoming increasingly popular as a platform for sharing personal
health-related information. This information can be utilized for public health monitoring tasks …
health-related information. This information can be utilized for public health monitoring tasks …
–Omic and electronic health record big data analytics for precision medicine
PY Wu, CW Cheng, CD Kaddi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Objective: Rapid advances of high-throughput technologies and wide adoption of electronic
health records (EHRs) have led to fast accumulation of–omic and EHR data. These …
health records (EHRs) have led to fast accumulation of–omic and EHR data. These …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
[HTML][HTML] Portable automatic text classification for adverse drug reaction detection via multi-corpus training
A Sarker, G Gonzalez - Journal of biomedical informatics, 2015 - Elsevier
Objective Automatic detection of adverse drug reaction (ADR) mentions from text has
recently received significant interest in pharmacovigilance research. Current research …
recently received significant interest in pharmacovigilance research. Current research …
[图书][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Computational drug repositioning: from data to therapeutics
MR Hurle, L Yang, Q Xie, DK Rajpal… - Clinical …, 2013 - Wiley Online Library
Traditionally, most drugs have been discovered using phenotypic or target‐based screens.
Subsequently, their indications are often expanded on the basis of clinical observations …
Subsequently, their indications are often expanded on the basis of clinical observations …
A comprehensive review of computational methods for drug-drug interaction detection
The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance,
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …