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Label attention meets deep learning: a novel model for ICD-11 automatic classification of Chinese EMRs

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
IEEE

Sign Language to text Conversion Using Machine Learning (For Deaf and Mute People)

Abstract: This study is intended for those with speech problems, hearing loss, or deafness. For those who are hard of hearing or deaf, sign language is unique in that it serves as their primary and ...
IEEE

ContraText-DETR: Boosting Industrial Scene Text Detection Based on Contrastive Learning and Synthetic Low-Contrast Text

Abstract: The scene text detection in industrial environments is challenging due to low contrast, corrosion, and glare on metallic surfaces, which affect the detection accuracy. Furthermore, symbols ...
Tech Xplore

Decoding black box AI with human-readable data descriptions and influence

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Journal of Medical Internet Research

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th ...

Our goal was to show the effectiveness and practicality of large language models (LLMs) in assessing the distribution of health care resources. Methods: We used aspect-based sentiment analysis (ABSA), ...