Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …

In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …

Objective Social determinants of health (SDoH) are nonclinical dispositions that impact
patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

A significant recent technological development concerns the automation of knowledge and
service work as a result of advances in Artificial Intelligence (AI) and its sub-fields. We use …

Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

The analysis of traffic crash severities provides significant information for the development of
safety countermeasures. Most available traffic crash datasets contain rich information …

The pervasive use of electronic health databases has increased the accessibility of free-text
clinical reports for supplementary use. Several text classification approaches, such as …

The main purpose of this paper is to identify the key factors that impact schools' academic
performance and to explore their relationships through a two-stage analysis based on a …

Objective In an effort to improve the efficiency of computer algorithms applied to screening
for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and …