Objective Word embeddings project semantically similar terms into nearby points in a vector
space. When trained on clinical text, these embeddings can be leveraged to improve …

The scientific community has reacted to the COVID-19 outbreak by producing a high number
of literary works that are hel** us to understand a variety of topics related to the pandemic …

Objective A large amount of clinical data are stored in clinical notes that frequently contain
spelling variations, typos, local practice-generated acronyms, synonyms, and informal …

One important aspect of language is how speakers generate utterances and texts to convey
their intended meanings. In this paper, we bring various aspects of the Construction …

Knowing the modality of a medical image is crucial in understanding the characteristics of
the image. Therefore, it is important to classify medical images as per their modality. The …

In the past few years, the exponential increase of clinical information and the usage of
electronic medical records motivated the application of automatic processing techniques for …

Background: People who inject drugs (PWID) are at risk for negative health related
complications including bacterial and viral infections and overdose. Identifying PWID …

Medical researchers rely on chart reviews, in which a user manually goes through a large
number of electronic medical records (EMRs), to search for evidence to answer a specific …

Many computational algorithms were introduced to interpret the gene expressions data, and
most of them were not robust enough to scale and classify large-scale gene population …