The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

Women are prone to breast cancer, which is a major cause of death. One out of every eight
women has a lifetime risk of developing this cancer. Early diagnosis of this disease is critical …

Simple Summary Breast cancer is one of the most common health problems in the world. As
a result, governments and researchers in different countries are trying to help prevent the …

The advent of contextual word embeddings--representations of words which incorporate
semantic and syntactic information from their context--has led to tremendous improvements …

Background Owing to the prevalence of the coronavirus disease (COVID-19), coping with
clinical issues at the individual level has become important to the healthcare system …

This review article offers a comprehensive analysis of current developments in the
application of machine learning for cancer diagnostic systems. The effectiveness of machine …

Over the last two decades and with the widespread use of social media and e-commerce
sites, scientific research in the field of sentiment analysis (SA) has made considerable …

Breast, lung, prostate, and stomach cancers are the most frequent cancer types globally.
Early-stage detection and diagnosis of these cancers pose a challenge in the literature …

The Medical Information Mart for Intensive Care (MIMIC) is a database of de-identified
electronic health records (EHR) associated with patients who stayed in intensive care units …