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 …
Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …
Adverse drug event detection using natural language processing: A scoping review of supervised learning methods
To reduce adverse drug events (ADEs), hospitals need a system to support them in
monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing …
monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing …
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
L Campillos-Llanos, A Valverde-Mateos… - BMC medical informatics …, 2021 - Springer
Background The large volume of medical literature makes it difficult for healthcare
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
[PDF][PDF] Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual …
There is a pressing need for advanced semantic annotation technologies of medical content,
in particular medical publications, clinical trials and clinical records. Search engines and …
in particular medical publications, clinical trials and clinical records. Search engines and …
[PDF][PDF] Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach
Detecting negation and uncertainty is crucial for medical text mining applications; otherwise,
extracted information can be incorrectly identified as real or factual events. Although several …
extracted information can be incorrectly identified as real or factual events. Although several …
On the linguistic representational power of neural machine translation models
Despite the recent success of deep neural networks in natural language processing and
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …
[HTML][HTML] Medical concept normalization in social media posts with recurrent neural networks
Text mining of scientific libraries and social media has already proven itself as a reliable tool
for drug repurposing and hypothesis generation. The task of mapping a disease mention to …
for drug repurposing and hypothesis generation. The task of mapping a disease mention to …
Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea
SB Choi, W Lee, JH Yoon, JU Won, DW Kim - Journal of affective disorders, 2018 - Elsevier
Background Death by suicide is a preventable public health concern worldwide. The aim of
this study is to investigate the probability of suicide death using baseline characteristics and …
this study is to investigate the probability of suicide death using baseline characteristics and …
Corpora annotated with negation: An overview
SM Jiménez-Zafra, R Morante… - Computational …, 2020 - aclanthology.org
Negation is a universal linguistic phenomenon with a great qualitative impact on natural
language processing applications. The availability of corpora annotated with negation is …
language processing applications. The availability of corpora annotated with negation is …