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Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest
2016
IMIA Yearbook of Medical Informatics
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Foundational progress in the field makes it possible to leverage a larger variety of texts of clinical interest for healthcare purposes. ...
Objective: To summarize recent research and present a selection of the best papers published in 2015 in the field of clinical Natural Language Processing (NLP). ...
[26] use psychiatric and general internal medicine discharge summaries to assign polarity scores for a positive/negative sentiment. ...
doi:10.15265/iy-2016-049
pmid:27830256
pmcid:PMC5171575
fatcat:lpjlk27gxzc7jd3gindlth2wcm
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
[article]
2021
arXiv
pre-print
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Electronic health records (EHRs), digital collections of patient healthcare events and observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and research. ...
Recently, however, newer neural network and deep learning approaches to Natural Language Processing (NLP) have made considerable advances, outperforming traditional statistical and rule-based systems on ...
Several papers have used CNNs to model relation extraction. Sahu et al. [195] used a standard CNN augmented with word-level features to extract relations from clinical discharge summaries. ...
arXiv:2107.02975v1
fatcat:nayhw7gadfdzrovycdkvzy75pi
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
[article]
2021
arXiv
pre-print
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Pre-trained language models (PLMs) have been the de facto paradigm for most natural language processing (NLP) tasks. ...
health records, protein, and DNA sequences for various biomedical tasks. ...
Event Extraction. Event extraction is another important task for mining structured knowledge from biomedical data. ...
arXiv:2110.05006v2
fatcat:aykwfhgi4jgmfovissgdvknny4
An Examination of the Statistical Laws of Semantic Change in Clinical Notes
2021
AMIA Annual Symposium Proceedings
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In this study, we examine two previously described semantic change laws based on word frequency and polysemy, and analyze how they apply to the clinical domain. ...
Using a corpus spanning eighteen years of clinical notes, we find that the previously described laws of semantic change hold for our data set. ...
Our clinical notes corpus was quite heterogeneous in regards to note type composition and included over one hundred different categories of notes, including progress notes, evaluations, discharge summaries ...
pmid:34457167
pmcid:PMC8378619
fatcat:zhsmwfw4ynfgpio6zgouotmdhi
Natural Language Processing for Information Extraction
[article]
2018
arXiv
pre-print
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This explosion of information and need for more sophisticated and efficient information handling tools gives rise to Information Extraction(IE) and Information Retrieval(IR) technology. ...
Information Extraction systems takes natural language text as input and produces structured information specified by certain criteria, that is relevant to a particular application. ...
Several methods have been proposed to extract events from text. Early approaches include Pattern-matching which try to use context information for finding relations between entities. ...
arXiv:1807.02383v1
fatcat:3bdyidbjp5hn7c2w4iqve4ajvi
DeepHealth: Review and challenges of artificial intelligence in health informatics
[article]
2020
arXiv
pre-print
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online communication health, as well as challenges and promising directions for future research. ...
The demand for it in health informatics is also increasing, and we can expect to see the potential benefits of its applications in healthcare. ...
Reference [233] extracted clinical concepts from free clinical narratives with relevant external resources (Wikipedia, Mayo Clinic), and trained Deep Q-Network (DQN) with two states (current clinical ...
arXiv:1909.00384v2
fatcat:sy7pm2c2uvdd3pal2russn4xri
Program Committee
2006
2006 Sixth IEEE International Workshop on Source Code Analysis and Manipulation
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Support for students came from the Global Wordnet Association. We would like to thank the programme committee for their thoughtful and timely reviews. The conference homepage is ...
Coaching in Computer Assisted Language Learning using Machine Translation Technology. ...
Several others contributing to its content are: Polish language version of Wikipedia and Wikisource, Walenty valency dictionary (Przepiórkowski et al., 2014) and National Corpus of Polish (Przepiórkowski ...
doi:10.1109/scam.2006.23
dblp:conf/scam/X06c
fatcat:2dhsf7loj5hlffu2jxpmlo2qcq
Automatic negation detection in narrative pathology reports
2015
Artificial Intelligence in Medicine
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A relation extraction system was presented to extract four relations from the lymphoma corpus. ...
The goal of this thesis is to extract pertinent information from free-text pathology reports and automatically populate structured reports for three cancer diseases, namely melanoma, colorectal cancer, ...
To extract concepts from clinical documents, Torii et al replaced one of its components -BioThesaurus with a collection of clinical terms extracted from discharge summaries, supplemented the section header ...
doi:10.1016/j.artmed.2015.03.001
pmid:25990897
fatcat:yrijkncnsvht7lonmaqt7uyya4
Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning
[article]
2020
arXiv
pre-print
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partners) against time, demographics and clinical factors. ...
Secondly for the slow-paced social data, a suite of new machine learning and natural language processing techniques were developed to automatically capture self-disclosed information of the individuals ...
Existing work on clinical event extraction is mostly developed for the clinical narratives in Electronic Health Records (EHR) and discharge summaries. ...
arXiv:2009.09078v1
fatcat:izo3eyjc4vdo3jnttt7omvsv5q
Anaphoric reference in clinical reports: Characteristics of an annotated corpus
2012
Journal of Biomedical Informatics
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We annotated a set of 180 clinical reports (surgical pathology, radiology, discharge summaries, and emergency department) from two institutions to indicate all anaphor-antecedent pairs. ...
Understanding how anaphoric reference is exhibited in clinical reports is critical to developing reference resolution algorithms and to identifying peculiarities of clinical text that may alter the features ...
The ODIE toolkitsoftware for information extraction and ontology development. ...
doi:10.1016/j.jbi.2012.01.010
pmid:22343015
fatcat:6tppus7qfvcdtoivkm45xxv23u
Open challenges for data stream mining research
2014
SIGKDD Explorations
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Another body of literature focuses on developing languages for querying Tweets. ...
Another body of literature focuses on developing languages for querying Tweets. ...
Acknowledgments We would like to thank the participants of the RealStream2013 workshop at ECMLPKDD2013 in Prague, and in particular Bernhard Pfahringer and George Forman, for suggestions and discussions ...
doi:10.1145/2674026.2674028
fatcat:y3bozzeohveibgxb5wmiwfcogm
Leveraging Data Science to Combat COVID-19: A Comprehensive Review
2020
IEEE Transactions on Artificial Intelligence
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Information extraction from clinical studies is already being performed [41] using language processing models such as [42] . ...
Ophir et al. extract visual features from volumetric chest CT exams for the detection of COVID-19. ...
He leans toward a "build and learn" paradigm for research. From 2016 to 2018, he was the Programm Chair at the Turing, the U.K.' ...
doi:10.1109/tai.2020.3020521
fatcat:34u4p5ss6ngpxg6us3ht6a4dla
Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text
2016
PLoS ONE
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In addition, we evaluated our approach on two other corpora (i2b2/VA discharge summaries and protein coreference dataset) to investigate its generality and ease of adaptation to other biomedical text types ...
Resolving coreference successfully can have a significant positive effect on downstream natural language processing tasks, such as information extraction and question answering. ...
Acknowledgments We thank Sonya Shooshan and Laritza Rodriguez for their contributions to the annotation study. This work was supported by the intramural research program at the U.S. ...
doi:10.1371/journal.pone.0148538
pmid:26934708
pmcid:PMC4774913
fatcat:eqtpgxqjivg2rgn4oqbpbiiqqq
Computational Socioeconomics
[article]
2019
arXiv
pre-print
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individual socioeconomic status and demographic, and the real-time monitoring of emergent events. ...
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development. ...
[799] determined the degree of building damage based on the texture features extracted from pre-and post-event VHR satellite imagery. ...
arXiv:1905.06166v1
fatcat:kvhy2hpzgvg2vnqhdjfyjfidqi
Deep Learning applications for COVID-19
2021
Journal of Big Data
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Natural Language Processing applications include mining COVID-19 research for Information Retrieval and Question Answering, as well as Misinformation Detection, and Public Sentiment Analysis. ...
These limitations include Interpretability, Generalization Metrics, Learning from Limited Labeled Data, and Data Privacy. ...
Opinions, findings, conclusions, or recommendations in this paper are the authors' and do not reflect the views of the NSF. ...
doi:10.1186/s40537-020-00392-9
pmid:33457181
pmcid:PMC7797891
fatcat:aokxo63z2rhdpfxo3egyf3xpcm
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