[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 …

The All of Us Data and Research Center: Creating a Secure, Scalable, and Sustainable Ecosystem for Biomedical Research

KR Mayo, MA Basford, RJ Carroll… - Annual review of …, 2023 - annualreviews.org
The All of Us Research Program's Data and Research Center (DRC) was established to
help acquire, curate, and provide access to one of the world's largest and most diverse …

CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines

E Soysal, J Wang, M Jiang, Y Wu… - Journal of the …, 2018 - academic.oup.com
Existing general clinical natural language processing (NLP) systems such as MetaMap and
Clinical Text Analysis and Knowledge Extraction System have been successfully applied to …

Ontology-driven weak supervision for clinical entity classification in electronic health records

JA Fries, E Steinberg, S Khattar, SL Fleming… - Nature …, 2021 - nature.com
In the electronic health record, using clinical notes to identify entities such as disorders and
their temporality (eg the order of an event relative to a time index) can inform many important …

What does this acronym mean? introducing a new dataset for acronym identification and disambiguation

APB Veyseh, F Dernoncourt, QH Tran… - arXiv preprint arXiv …, 2020 - arxiv.org
Acronyms are the short forms of phrases that facilitate conveying lengthy sentences in
documents and serve as one of the mainstays of writing. Due to their importance, identifying …

Deciphering clinical abbreviations with a privacy protecting machine learning system

A Rajkomar, E Loreaux, Y Liu, J Kemp, B Li… - Nature …, 2022 - nature.com
Physicians write clinical notes with abbreviations and shorthand that are difficult to decipher.
Abbreviations can be clinical jargon (writing “HIT” for “heparin induced thrombocytopenia”) …

Annotation and initial evaluation of a large annotated German oncological corpus

M Kittner, M Lamping, DT Rieke, J Götze, B Bajwa… - JAMIA …, 2021 - academic.oup.com
Abstract Objective We present the Berlin-Tübingen-Oncology corpus (BRONCO), a large
and freely available corpus of shuffled sentences from German oncological discharge …

Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions

S Sohn, Y Wang, CI Wi, EA Krusemark… - Journal of the …, 2018 - academic.oup.com
Objective To assess clinical documentation variations across health care institutions using
different electronic medical record systems and investigate how they affect natural language …

A deep database of medical abbreviations and acronyms for natural language processing

L Grossman Liu, RH Grossman, EG Mitchell, C Weng… - Scientific Data, 2021 - nature.com
The recognition, disambiguation, and expansion of medical abbreviations and acronyms is
of upmost importance to prevent medically-dangerous misinterpretation in natural language …

[HTML][HTML] Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review

A Kugic, I Martin, L Modersohn, P Pallaoro… - Journal of medical …, 2024 - jmir.org
Background Clinical narratives are essential components of electronic health records. The
adoption of electronic health records has increased documentation time for hospital staff …