Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review
Kory Kreimeyer,Matthew Foster,Abhishek Pandey,Nina Arya,Gwendolyn Halford,Sandra F Jones,Richard A. Forshee,Mark Walderhaug,Taxiarchis Botsis +8 more
TLDR
This review has identified many NLP systems capable of processing clinical free text and generating structured output, and the information collected and evaluated here will be important for prioritizing development of new approaches for clinical NLP.About:
This article is published in Journal of Biomedical Informatics.The article was published on 2017-09-01 and is currently open access. It has received 342 citations till now. The article focuses on the topics: Relevance (information retrieval).read more
Citations
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The 'Digital Twin' to enable the vision of precision cardiology.
Jorge Corral-Acero,Francesca Margara,Maciej Marciniak,Cristobal Rodero,Filip Loncaric,Yingjing Feng,Andrew Gilbert,Joao Filipe Fernandes,Hassaan A. Bukhari,Ali Wajdan,Manuel Villegas Martinez,Mariana Sousa Santos,Mehrdad Shamohammdi,Hongxing Luo,Philip Westphal,Paul Leeson,Paolo DiAchille,Viatcheslav Gurev,Manuel Mayr,Liesbet Geris,Pras Pathmanathan,Tina M. Morrison,Richard Cornelussen,Frits W. Prinzen,Tammo Delhaas,Ada Doltra,Marta Sitges,Edward J. Vigmond,Ernesto Zacur,Vicente Grau,Blanca Rodriguez,Espen W. Remme,Steven A. Niederer,Peter Mortier,Kristin McLeod,Mark Potse,Esther Pueyo,Alfonso Bueno-Orovio,Pablo Lamata +38 more
TL;DR: It is argued that the second enabling pillar towards this vision is the increasing power of computers and algorithms to learn, reason, and build the ‘digital twin’ of a patient.
Journal ArticleDOI
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Seyedmostafa Sheikhalishahi,Seyedmostafa Sheikhalishahi,Riccardo Miotto,Joel T. Dudley,Alberto Lavelli,Fabio Rinaldi,Venet Osmani +6 more
TL;DR: A comprehensive overview of the development and uptake of NLP methods applied to free-text clinical notes related to chronic diseases is provided, including the investigation of challenges faced by NLP methodologies in understanding clinical narratives.
Journal ArticleDOI
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
TL;DR: Future NLP studies should concentrate on the investigation of symptoms and symptom documentation in EHR free-text narratives, and efforts should be undertaken to examine patient characteristics and make symptom-related NLP algorithms or pipelines and vocabularies openly available.
Journal ArticleDOI
How Machine Learning Will Transform Biomedicine
TL;DR: A vision for how machine learning can transform three broad areas of biomedicine: clinical diagnostics, precision treatments, and health monitoring, where the goal is to maintain health through a range of diseases and the normal aging process is outlined.
Journal ArticleDOI
Achieving Goal-Concordant Care: A Conceptual Model and Approach to Measuring Serious Illness Communication and Its Impact
TL;DR: Improving serious illness care necessitates ensuring that high-quality communication has occurred and measuring its impact, and measuring patient experience and receipt of goal-concordant care should be the highest priority.
References
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Journal Article
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement [in Spanish]
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
TL;DR: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is introduced, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses.
Proceedings ArticleDOI
The Stanford CoreNLP Natural Language Processing Toolkit
Christopher D. Manning,Mihai Surdeanu,John Bauer,Jenny Rose Finkel,Steven Bethard,David McClosky +5 more
TL;DR: The design and use of the Stanford CoreNLP toolkit is described, an extensible pipeline that provides core natural language analysis, and it is suggested that this follows from a simple, approachable design, straightforward interfaces, the inclusion of robust and good quality analysis components, and not requiring use of a large amount of associated baggage.