AIMC Topic: Natural Language Processing

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Predicting future falls in older people using natural language processing of general practitioners' clinical notes.

Age and ageing
BACKGROUND: Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health records (EHR) offer an opportunity to develop automated prediction tools that may help to identify fall...

On the cusp: Considering the impact of artificial intelligence language models in healthcare.

Med (New York, N.Y.)
Goodman et al. discuss how AI technologies like the natural language processing model Chat-GPT could potentially transform healthcare through knowledge dissemination and personalized patient education. Before these tools can be safely integrated into...

On the effectiveness of compact biomedical transformers.

Bioinformatics (Oxford, England)
MOTIVATION: Language models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising results on downstream biomedical tasks. Many existing pre-trained models, on the other hand, are resource-intensive and computationally heav...

The Use of Natural Language Processing to Assess Social Support in Patients With Advanced Cancer.

The oncologist
BACKGROUND: Data examining associations among social support, survival, and healthcare utilization are lacking in patients with advanced cancer.

Automatic Extraction of Medication Mentions from Tweets-Overview of the BioCreative VII Shared Task 3 Competition.

Database : the journal of biological databases and curation
This study presents the outcomes of the shared task competition BioCreative VII (Task 3) focusing on the extraction of medication names from a Twitter user's publicly available tweets (the user's 'timeline'). In general, detecting health-related twee...

Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning.

American journal of epidemiology
We sought to determine whether machine learning and natural language processing (NLP) applied to electronic medical records could improve performance of automated health-care claims-based algorithms to identify anaphylaxis events using data on 516 pa...

Using Natural Language Processing to Improve Discrete Data Capture From Interpretive Cervical Biopsy Diagnoses at a Large Health Care Organization.

Archives of pathology & laboratory medicine
CONTEXT.—: The terminology used by pathologists to describe and grade dysplasia and premalignant changes of the cervical epithelium has evolved over time. Unfortunately, coexistence of different classification systems combined with nonstandardized in...

Extraction of microRNA-target interaction sentences from biomedical literature by deep learning approach.

Briefings in bioinformatics
MicroRNA (miRNA)-target interaction (MTI) plays a substantial role in various cell activities, molecular regulations and physiological processes. Published biomedical literature is the carrier of high-confidence MTI knowledge. However, digging out th...