[HTML][HTML] Clinical text data in machine learning: systematic review
Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …
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 …
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
Existing general clinical natural language processing (NLP) systems such as MetaMap and
Clinical Text Analysis and Knowledge Extraction System have been successfully applied to …
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 …
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
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 …
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”) …
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 …
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
Objective To assess clinical documentation variations across health care institutions using
different electronic medical record systems and investigate how they affect natural language …
different electronic medical record systems and investigate how they affect natural language …
A deep database of medical abbreviations and acronyms for natural language processing
The recognition, disambiguation, and expansion of medical abbreviations and acronyms is
of upmost importance to prevent medically-dangerous misinterpretation in natural language …
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 …
adoption of electronic health records has increased documentation time for hospital staff …