Biophysical review’s ‘meet the editors series’—a profile of Naranamangalam R. Jagannathan

Jagannathan, N. R.

doi:10.1007/s12551-020-00700-w

Cited by 6 publications

(5 citation statements)

References 34 publications

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“…Early approaches to disambiguation of clinical abbreviations and acronyms, which were based on rules (24) and traditional machine learning (25)(26)(27)(28), performed with moderate accuracy ranging between 50.1% and 75% (29). Despite the obvious improvements that deep neural networks offer to acronym disambiguation (12), there is evidence that rule-based approaches may not only outperform them but error analysis even suggests why (9).…”

Section: Related Workmentioning

confidence: 99%

Word sense disambiguation of acronyms in clinical narratives

Chopard,

Corcoran,

Spasić

2024

Front. Digit. Health

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Clinical narratives commonly use acronyms without explicitly defining their long forms. This makes it difficult to automatically interpret their sense as acronyms tend to be highly ambiguous. Supervised learning approaches to their disambiguation in the clinical domain are hindered by issues associated with patient privacy and manual annotation, which limit the size and diversity of training data. In this study, we demonstrate how scientific abstracts can be utilised to overcome these issues by creating a large automatically annotated dataset of artificially simulated global acronyms. A neural network trained on such a dataset achieved the F1-score of 95% on disambiguation of acronym mentions in scientific abstracts. This network was integrated with multi-word term recognition to extract a sense inventory of acronyms from a corpus of clinical narratives on the fly. Acronym sense extraction achieved the F1-score of 74% on a corpus of radiology reports. In clinical practice, the suggested approach can be used to facilitate development of institution-specific inventories.

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Section: Related Workmentioning

confidence: 99%

Word sense disambiguation of acronyms in clinical narratives

Chopard,

Corcoran,

Spasić

2024

Front. Digit. Health

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“…Directly after this Editorial (Hall 2021 ) is the latest instalment of the Biophysical Reviews’ ‘Meet the Editors Series’ (Vassalli 2021 ). In beginning, this biographical endeavor the journal placed its focus on the five Executive Editors (Olson 2020 ; Nagayama 2020 ; Itri 2020 ; Ho 2020 ; Jagannathan 2020 ). After this initial foray, we then started with members of the Editorial Board (Benedetto 2020 ).…”

Section: Description Of Issue Contentsmentioning

confidence: 99%

Biophysical Reviews—the IUPAB journal tasked with advancing biophysics

Hall

2021

Biophys Rev

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“…Directly following this Editorial is the third installment of our Biophysical Reviews Meet the Editors Series, contributed by Prof. Naranamangalam Jagannathan (Jagannathan 2020). Prof. Jagannathan is a medical physicist whose life story will likely inspire younger scientists.…”

Section: Issue Contentsmentioning

confidence: 99%