AIMC Topic: Natural Language Processing

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Protocol for the automatic extraction of epidemiological information via a pre-trained language model.

STAR protocols Jul 1, 2023
The lack of systems to automatically extract epidemiological fields from open-access COVID-19 cases restricts the timeliness of formulating prevention measures. Here we present a protocol for using CCIE, a COVID-19 Cases Information Extraction system...
Humans COVID-19 Language Natural Language Processing
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Augmenting Polymer Datasets by Iterative Rearrangement.

Journal of chemical information and modeling Jun 30, 2023
One of the biggest obstacles to successful polymer property prediction is an effective representation that accurately captures the sequence of repeat units in a polymer. Motivated by the success of data augmentation in computer vision and natural lan...
Machine Learning Natural Language Processing Polymers
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Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research.

Journal of medical Internet research Jun 30, 2023
BACKGROUND: Contraceptive choice is central to reproductive autonomy. The internet, including social networking sites like Reddit, is an important resource for people seeking contraceptive information and support. A subreddit dedicated to contracepti...
Humans Natural Language Processing Contraception Contraceptive Agents Contraceptive Devices Document Analysis
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Discovering new pathways toward integration between health and sustainable development goals with natural language processing and network science.

Globalization and health Jun 29, 2023
BACKGROUND: Research on health and sustainable development is growing at a pace such that conventional literature review methods appear increasingly unable to synthesize all relevant evidence. This paper employs a novel combination of natural languag...
Humans Educational Status Animals Cities Natural Language Processing Sustainable Development One Health
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Localizing in-domain adaptation of transformer-based biomedical language models.

Journal of biomedical informatics Jun 28, 2023
In the era of digital healthcare, the huge volumes of textual information generated every day in hospitals constitute an essential but underused asset that could be exploited with task-specific, fine-tuned biomedical language representation models, i...
Humans Language Natural Language Processing Italy Unified Medical Language System Records
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Advances in monolingual and crosslingual automatic disability annotation in Spanish.

BMC bioinformatics Jun 26, 2023
BACKGROUND: Unlike diseases, automatic recognition of disabilities has not received the same attention in the area of medical NLP. Progress in this direction is hampered by obstacles like the lack of annotated corpus. Neural architectures learn to tr...
Neural Networks, Computer Writing Natural Language Processing
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Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes.

Journal of biomedical informatics Jun 24, 2023
BACKGROUND: An accurate medication history, foundational for providing quality medical care, requires understanding of medication change events documented in clinical notes. However, extracting medication changes without the necessary clinical contex...
Humans Electronic Health Records Language Natural Language Processing
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Extraction of use case diagram elements using natural language processing and network science.

PloS one Jun 23, 2023
Software engineering artifact extraction from natural language requirements without human intervention is a challenging task. Out of these artifacts, the use case plays a prominent role in software design and development. In the literature, most of t...
Software Language Case-Control Studies Natural Language Processing
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Developing an Automated Registry (Autoregistry) of Spine Surgery Using Natural Language Processing and Health System Scale Databases.

Neurosurgery Jun 22, 2023
BACKGROUND AND OBJECTIVES: Clinical registries are critical for modern surgery and underpin outcomes research, device monitoring, and trial development. However, existing approaches to registry construction are labor-intensive, costly, and prone to m...
Humans Software Algorithms Electronic Health Records Natural Language Processing Registries
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Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than Codes.

Journal of the American Heart Association Jun 22, 2023
Background The Fontan operation is associated with significant morbidity and premature mortality. Fontan cases cannot always be identified by () codes, making it challenging to create large Fontan patient cohorts. We sought to develop natural langua...
Humans Machine Learning Electronic Health Records Natural Language Processing Electronics International Classification of Diseases
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