Autism Spectrum disorder (ASD) is a neurological disorder in which a person suffers from
lifetime issues like social communication and interaction with other individuals. This disorder …

In order to solve the current problems in domain long text classification tasks, namely, the
long length of a document, which makes it difficult for the model to capture key information …

Accurately extracting and classifying Chinese electronic medical record (EMR), which
contain huge amounts of valuable medical information, have promising practical application …

Text classification is an important topic in natural language processing, with the
development of social network, many question-and-answer pairs regarding health-care and …

To enhance the accuracy of medical document classification, we propose an advanced
deep fusion model for sorting medicine document. Specifically, we enhance text …

As hieroglyphic languages, such as Chinese, differ from alphabetic languages, researchers
have always been interested in using internal glyph features to enhance semantic …

In the context of healthcare, this study investigates the use of Graph A convolutional
Networks (GCNs) for disease mapping along with classification. Based on an interpretivist …

The use of the Bidirectional Encoder Representations from Transformers (BERT) model for
clinical text classification in the healthcare industry is investigated in this study. Using a …