2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records
S Henry, K Buchan, M Filannino… - Journal of the …, 2020 - academic.oup.com
Objective This article summarizes the preparation, organization, evaluation, and results of
Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on …
Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on …
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval
Motivation Information retrieval (IR) is essential in biomedical knowledge acquisition and
clinical decision support. While recent progress has shown that language model encoders …
clinical decision support. While recent progress has shown that language model encoders …
Simplified data wrangling with ir_datasets
Managing the data for Information Retrieval (IR) experiments can be challenging. Dataset
documentation is scattered across the Internet and once one obtains a copy of the data …
documentation is scattered across the Internet and once one obtains a copy of the data …
[HTML][HTML] Searching for scientific evidence in a pandemic: An overview of TREC-COVID
We present an overview of the TREC-COVID Challenge, an information retrieval (IR) shared
task to evaluate search on scientific literature related to COVID-19. The goals of TREC …
task to evaluate search on scientific literature related to COVID-19. The goals of TREC …
Cognitive biases in crowdsourcing
C Eickhoff - Proceedings of the eleventh ACM international …, 2018 - dl.acm.org
Crowdsourcing has become a popular paradigm in data curation, annotation and evaluation
for many artificial intelligence and information retrieval applications. Considerable efforts …
for many artificial intelligence and information retrieval applications. Considerable efforts …
Semantic information retrieval on medical texts: Research challenges, survey, and open issues
L Tamine, L Goeuriot - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The explosive growth and widespread accessibility of medical information on the Internet
have led to a surge of research activity in a wide range of scientific communities including …
have led to a surge of research activity in a wide range of scientific communities including …
[PDF][PDF] Exploiting incoming and outgoing citations for improving Information Retrieval in the TREC 2015 Clinical Decision Support Track
Résumé We investigated two strategies for improving Information Retrieval thanks to
incoming and outgoing citations. We first started from settings that worked last year and …
incoming and outgoing citations. We first started from settings that worked last year and …
A large-scale dataset of patient summaries for retrieval-based clinical decision support systems
Abstract Retrieval-based Clinical Decision Support (ReCDS) can aid clinical workflow by
providing relevant literature and similar patients for a given patient. However, the …
providing relevant literature and similar patients for a given patient. However, the …
Retrieval augmentation of large language models for lay language generation
The complex linguistic structures and specialized terminology of expert-authored content
limit the accessibility of biomedical literature to the general public. Automated methods have …
limit the accessibility of biomedical literature to the general public. Automated methods have …
Literature-augmented clinical outcome prediction
We present BEEP (Biomedical Evidence-Enhanced Predictions), a novel approach for
clinical outcome prediction that retrieves patient-specific medical literature and incorporates …
clinical outcome prediction that retrieves patient-specific medical literature and incorporates …