AIMC Topic: Narration

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Does Pollyanna hypothesis hold true in death narratives? A sentiment analysis approach.

Acta psychologica
Pollyanna hypothesis claims that human beings have a universal tendency to use positive words more frequently and broadly than negative words. The present study aims to test Pollyanna hypothesis in medical death narratives at both lexical and text le...

Automated scoring of the autobiographical interview with natural language processing.

Behavior research methods
The autobiographical interview has been used in more than 200 studies to assess the content of autobiographical memories. In a typical experiment, participants recall memories, which are then scored manually for internal details (episodic details fro...

Using Natural Language Processing to Evaluate the Quality of Supervisor Narrative Comments in Competency-Based Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Learner development and promotion rely heavily on narrative assessment comments, but narrative assessment quality is rarely evaluated in medical education. Educators have developed tools such as the Quality of Assessment for Learning (QuAL) ...

Fine-tuning coreference resolution for different styles of clinical narratives.

Journal of biomedical informatics
OBJECTIVE: Coreference resolution (CR) is a natural language processing (NLP) task that is concerned with finding all expressions within a single document that refer to the same entity. This makes it crucial in supporting downstream NLP tasks such as...

Exploring the application of machine learning to expert evaluation of research impact.

PloS one
The objective of this study is to investigate the application of machine learning techniques to the large-scale human expert evaluation of the impact of academic research. Using publicly available impact case study data from the UK's Research Excelle...

Natural Language Processing of Nursing Notes: An Integrative Review.

Computers, informatics, nursing : CIN
Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in nursing. We...

What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation.

Journal of medical Internet research
BACKGROUND: There is increasing interest in the use of artificial intelligence (AI) in pathology to increase accuracy and efficiency. To date, studies of clinicians' perceptions of AI have found only moderate acceptability, suggesting the need for fu...

Sentiment analysis of clinical narratives: A scoping review.

Journal of biomedical informatics
A clinical sentiment is a judgment, thought or attitude promoted by an observation with respect to the health of an individual. Sentiment analysis has drawn attention in the healthcare domain for secondary use of data from clinical narratives, with a...

Who makes AI? Gender and portrayals of AI scientists in popular film, 1920-2020.

Public understanding of science (Bristol, England)
It is well established both that women are underrepresented in the field of artificial intelligence (AI) and that media representations of professions have impact on career choices and prospects. We therefore hypothesised that women are underrepresen...

Extracting medication changes in clinical narratives using pre-trained language models.

Journal of biomedical informatics
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate patient care. Healthcare providers or the patients themselves may initiate...