AIMC Topic: Natural Language Processing

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Constructing a disease database and using natural language processing to capture and standardize free text clinical information.

Scientific reports
The ability to extract critical information about an infectious disease in a timely manner is critical for population health research. The lack of procedures for mining large amounts of health data is a major impediment. The goal of this research is ...

Does the first letter of one's name affect life decisions? A natural language processing examination of nominative determinism.

Journal of personality and social psychology
This research examines whether the phenomenon of nominative determinism (a name-driven outcome) exists in the real world. Nominative determinism manifests as a preference for a profession or city to live in that begins with the same letter as a perso...

Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?

The British journal of radiology
OBJECTIVES: Current state-of-the-art natural language processing (NLP) techniques use transformer deep-learning architectures, which depend on large training datasets. We hypothesized that traditional NLP techniques may outperform transformers for sm...

A real-world evaluation of the implementation of NLP technology in abstract screening of a systematic review.

Research synthesis methods
The laborious and time-consuming nature of systematic review production hinders the dissemination of up-to-date evidence synthesis. Well-performing natural language processing (NLP) tools for systematic reviews have been developed, showing promise to...

Drug repurposing: Known knowns to unknown unknowns - Network analysis of the repurposome.

Drug discovery today
DrugRepurposing Online is a database of well-curated literature examples of drug repurposing, structured by reference to compounds and indications, via a generalisation layer (within specific datasets) of mechanism. References are categorised by leve...

CLDTLog: System Log Anomaly Detection Method Based on Contrastive Learning and Dual Objective Tasks.

Sensors (Basel, Switzerland)
System logs are a crucial component of system maintainability, as they record the status of the system and essential events for troubleshooting and maintenance when necessary. Therefore, anomaly detection of system logs is crucial. Recent research ha...

A novel gluten knowledge base of potential biomedical and health-related interactions extracted from the literature: Using machine learning and graph analysis methodologies to reconstruct the bibliome.

Journal of biomedical informatics
BACKGROUND: In return for their nutritional properties and broad availability, cereal crops have been associated with different alimentary disorders and symptoms, with the majority of the responsibility being attributed to gluten. Therefore, the rese...

Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?

Medical sciences (Basel, Switzerland)
There is widespread use of dietary supplements, some prescribed but many taken without a physician's guidance. There are many potential interactions between supplements and both over-the-counter and prescription medications in ways that are unknown t...

Use and Design of Chatbots for the Circular Economy.

Sensors (Basel, Switzerland)
The fact that advanced technologies and their economic applications have generated increasing resource costs justifies the transition from a linear approach to a circular one in order to control these costs. From this perspective, this study presents...