AIMC Topic: Natural Language Processing

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A NLP Pipeline for the Automatic Extraction of Microorganisms Names from Microbiological Notes.

Studies in health technology and informatics
According to the "Istituto Superiore di Sanita'" (ISS), hospital infections are the most frequent and serious complication of health care. This constitutes a real health emergency which requires incisive and joint action at all levels of the local an...

Natural language word embeddings as a glimpse into healthcare language and associated mortality surrounding end of life.

BMJ health & care informatics
OBJECTIVES: To clarify real-world linguistic nuances around dying in hospital as well as inaccuracy in individual-level prognostication to support advance care planning and personalised discussions on limitation of life sustaining treatment (LST).

Using Natural Language Processing to Automatically Assess Feedback Quality: Findings From 3 Surgical Residencies.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Learning is markedly improved with high-quality feedback, yet assuring the quality of feedback is difficult to achieve at scale. Natural language processing (NLP) algorithms may be useful in this context as they can automatically classify la...

MT-clinical BERT: scaling clinical information extraction with multitask learning.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Clinical notes contain an abundance of important, but not-readily accessible, information about patients. Systems that automatically extract this information rely on large amounts of training data of which there exists limited resources to...

Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: : Developing clinical natural language processing systems often requires access to many clinical documents, which are not widely available to the public due to privacy and security concerns. To address this challenge, we propose to develop...

A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information.

Briefings in bioinformatics
Recently, language representation models have drawn a lot of attention in the natural language processing field due to their remarkable results. Among them, bidirectional encoder representations from transformers (BERT) has proven to be a simple, yet...

Deep learning-based natural language processing in ophthalmology: applications, challenges and future directions.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Artificial intelligence (AI) is the fourth industrial revolution in mankind's history. Natural language processing (NLP) is a type of AI that transforms human language, to one that computers can interpret and process. NLP is still ...

Artificial intelligence in myopia: current and future trends.

Current opinion in ophthalmology
PURPOSE OF REVIEW: Myopia is one of the leading causes of visual impairment, with a projected increase in prevalence globally. One potential approach to address myopia and its complications is early detection and treatment. However, current healthcar...