AIMC Topic: Natural Language Processing
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Proceedings from the inaugural Artificial Intelligence in Primary Immune Deficiencies (AIPID) conference.
The Journal of allergy and clinical immunology
Jan 13, 2024
Here, we summarize the proceedings of the inaugural Artificial Intelligence in Primary Immune Deficiencies conference, during which experts and advocates gathered to advance research into the applications of artificial intelligence (AI), machine lear...
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
Jan 12, 2024
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) ...
Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.
Journal of medical Internet research
Jan 12, 2024
BACKGROUND: The systematic review of clinical research papers is a labor-intensive and time-consuming process that often involves the screening of thousands of titles and abstracts. The accuracy and efficiency of this process are critical for the qua...
Natural Language Processing for Smart Healthcare.
IEEE reviews in biomedical engineering
Jan 12, 2024
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural language p...
Auditing Learned Associations in Deep Learning Approaches to Extract Race and Ethnicity from Clinical Text.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Complete and accurate race and ethnicity (RE) patient information is important for many areas of biomedical informatics research, such as defining and characterizing cohorts, performing quality assessments, and identifying health inequities. Patient-...
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT-J models was utilized to directly test the gold standard as well as t...
Automatic Mapping of Terminology Items with Transformers.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Biomedical ontologies are a key component in many systems for the analysis of textual clinical data. They are employed to organize information about a certain domain relying on a hierarchy of different classes. Each class maps a concept to items in a...
Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models.
Chest
Jan 8, 2024
BACKGROUND: Language in nonmedical data sets is known to transmit human-like biases when used in natural language processing (NLP) algorithms that can reinforce disparities. It is unclear if NLP algorithms of medical notes could lead to similar trans...
Graph global attention network with memory: A deep learning approach for fake news detection.
Neural networks : the official journal of the International Neural Network Society
Jan 8, 2024
With the proliferation of social media, the detection of fake news has become a critical issue that poses a significant threat to society. The dissemination of fake information can lead to social harm and damage the credibility of information. To add...
A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification.
Artificial intelligence in medicine
Jan 8, 2024
The development of intelligent systems that use social media data for decision-making processes in numerous domains such as politics, business, marketing, and finance, has been made possible by the popularity of social media platforms. However, the u...
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