Phishing is the fraudulent attempt to obtain sensitive information by disguising oneself as a
trustworthy entity in digital communication. It is a type of cyber attack often successful …

Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

The last decade has seen an exponential growth in the quantity of clinical data collected
nationwide, triggering an increase in opportunities to reuse the data for biomedical research …

Background Internet provides different tools for communicating with patients, such as social
media (eg, Twitter) and email platforms. These platforms provided new data sources to shed …

In this article, I introduce the ldagibbs command, which implements latent Dirichlet allocation
in Stata. Latent Dirichlet allocation is the most popular machine-learning topic model. Topic …

Due to the widespread usage of electronic devices and the growing popularity of social
media, a lot of text data is being generated at the rate never seen before. It is not possible for …

Background The associations between genes and diseases are of critical significance in
aspects of prevention, diagnosis and treatment. Although gene-disease relationships have …

The aim of this study is to explore trends in retracted publications in life sciences and
biomedical sciences over axes like time, countries, journals and impact factors, and topics …

Classification problems in which the number of features (dimensions) is unduly higher than
the number of samples (observations) is an essential research and application area in a …