Bias in textual data can lead to skewed interpretations and outcomes whe...
Discriminatory language and biases are often present in hate speech duri...
With the growing utilization of machine learning in healthcare, there is...
This study presents a machine learning (ML) pipeline for clinical data
c...
Machine learning (ML) has become a critical tool in public health, offer...
Infectious diseases are a significant public health concern globally, an...
The concept of fairness is gaining popularity in academia and industry.
...
Because of the increasing use of data-centric systems and algorithms in
...
Recommender systems, information retrieval, and other information access...
There are a few challenges related to the task of biomedical named entit...
The management of hyperglycemia in hospitalized patients has a significa...
Coronavirus disease (COVID-19) is an infectious disease, which is caused...
This research presents a review of main datasets that are developed for
...
In a news recommender system, a reader's preferences change over time. S...
The news recommender systems are marked by a few unique challenges speci...
Nowadays, more and more news readers tend to read news online where they...