Automatic aggregation of similar words into semantically related groups (or clusters) is of
interest to many natural language processing (NLP) applications. Extracting semantically …

Improving the quality of healthcare services is of the utmost importance in healthcare
systems. Patient experience is a key aspect that should be gauged and monitored …

This paper proposes a model based on BERT and bidirectional GRU (BiGRU) recurrent
neural network is proposed to realize disease diagnosis of patients. This method can …

Context Extracting cancer symptom documentation allows clinicians to develop highly
individualized symptom prediction algorithms to deliver symptom management care …

The exponential increase of health-related digital data has given machine learning
algorithms a newfound ability to generate more meaningful insights. Information such as …

In recent years, state-of-the-art clinical Natural Language Processing (NLP), as in other
domains, has been dominated by neural networks and other statistical models. In contrast to …

The fourth industrial revolution is marked by new technologies that favor not only the
business sector but also the human being himself, which is why it has gradually spread to all …