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

The article examined the deep learning models and Fastai text classification technique to
predict the medical speech utterances, transcriptions, and intent to extract the 25 medicals …

Artificial Intelligence is becoming an important Computer Science field that is being
leveraged periodically, to be collaborated with everyday applications. Health care is a major …

Background: With the prevalence of online consultation, many patient-doctor dialogues have
accumulated, which, in an authentic language environment, are of significant value to the …

$\textbf {Objective} $ Develop an automatic diagnostic system which only uses textual
admission information from Electronic Health Records (EHRs) and assist clinicians with a …

In clinical conversational applications, extracted entities tend to capture the main subject of a
patient's complaint, namely symptoms or diseases. However, they mostly fail to recognize …

The Arabic language suffers from a great shortage of datasets suitable for training deep
learning models, and the existing ones include general non-specialized classifications. In …

To reduce the pressure of medical triage in the hospitals, this paper proposes a medical
triage system that could classify patients' questions or texts about their symptoms into …

Background: Machine and deep learning techniques are commonly used for text analysis in
healthcare. Applications such as the classification of diagnosis and unplanned readmissions …

We have released Sina-BERT, a language model pre-trained on BERT (Devlin et al., 2018)
to address the lack of a high-quality Persian language model in the medical domain. SINA …