[HTML][HTML] Clinical information extraction applications: a literature review

Y Wang, L Wang, M Rastegar-Mojarad, S Moon… - Journal of biomedical …, 2018 - Elsevier
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

[HTML][HTML] Clinical text data in machine learning: systematic review

I Spasic, G Nenadic - JMIR medical informatics, 2020 - medinform.jmir.org
Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …

Large language models are few-shot clinical information extractors

M Agrawal, S Hegselmann, H Lang, Y Kim… - arXiv preprint arXiv …, 2022 - arxiv.org
A long-running goal of the clinical NLP community is the extraction of important variables
trapped in clinical notes. However, roadblocks have included dataset shift from the general …

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 …

Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review

K Kreimeyer, M Foster, A Pandey, N Arya… - Journal of biomedical …, 2017 - Elsevier
We followed a systematic approach based on the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …

A survey on semantic processing techniques

R Mao, K He, X Zhang, G Chen, J Ni, Z Yang… - Information …, 2024 - Elsevier
Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Big data in health care: using analytics to identify and manage high-risk and high-cost patients

DW Bates, S Saria, L Ohno-Machado, A Shah… - Health …, 2014 - healthaffairs.org
The US health care system is rapidly adopting electronic health records, which will
dramatically increase the quantity of clinical data that are available electronically …

Named entity recognition and relation detection for biomedical information extraction

N Perera, M Dehmer, F Emmert-Streib - Frontiers in cell and …, 2020 - frontiersin.org
The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

A survey on recent named entity recognition and relationship extraction techniques on clinical texts

P Bose, S Srinivasan, WC Sleeman IV, J Palta… - Applied Sciences, 2021 - mdpi.com
Significant growth in Electronic Health Records (EHR) over the last decade has provided an
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …

[PDF][PDF] CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes

S Pradhan, A Moschitti, N Xue… - Joint conference on …, 2012 - aclanthology.org
The CoNLL-2012 shared task involved predicting coreference in English, Chinese, and
Arabic, using the final version, v5. 0, of the OntoNotes corpus. It was a follow-on to the …