Along with recent developments in deep learning techniques, computer-aided diagnosis
(CAD) has been growing rapidly in the medical imaging field. In this work, we evaluate the …

Rural women's entrepreneurship has contributed significantly to the country's economy.
Entrepreneurship rates have fluctuated in recent years, according to a variety of reasons …

Background Predicting patient's Length of Stay (LOS) before total joint replacement (TJR)
surgery is vital for hospitals to optimally manage costs and resources. Many hospitals …

Introduction: Past studies examined factors associated with rural practice, but none
employed newer machine learning (ML) methods to explore potential predictors. The …

A subset of machine learning (ML) known as “deep learning”(DL) has gained popularity
recently as a result of advancements in the use of artificial neural networks, huge data, and …

Background: The Appalachian population is distinct, not just culturally and geographically
but also in its health care needs, facing the most health care disparities in the United States …

Abstract The Perioperative Surgical Home (PSH) is a novel patient-centric surgical system
developed by American Society of Anesthesiologists (ASA) to improve surgical outcomes …

Ten years ago, in 2015, the Marshall Journal of Medicine (MJM) embarked on a journey to
bridge the gap between science and society. Today, we celebrate a decade of success …

Addressing health and health inequities in underserved communities has been a missing
part of puzzle in Big Data Science. Every individuals should have the equal opportunity to …