The economic burden of biologic disease-modifying antirheumatic drugs in rheumatoid arthritis patients in the United States

Q Ding, D Shiltz, D Hossami… - Expert review of …, 2022 - Taylor & Francis
Background Previous US economic burden estimates for rheumatoid arthritis (RA) varied
from 85.6to 148.1 billion annually. However, these estimates do not reflect comparative …

Exploring consumers' intent to use smart libraries with technology acceptance model

K Yu, G Huang - The Electronic Library, 2020 - emerald.com
Purpose Scientific advances and the emergence of a wide range of broadband services
have resulted in the internet developing as a critical component of most peoples' daily lives …

Mapping the quantity, quality and structural indicators of Asian (48 countries and 3 territories) research productivity on cloud computing

WA Awan, A Abbas - Library Hi Tech, 2023 - emerald.com
Purpose The purpose of this study was to map the quantity (frequency), quality (impact) and
structural indicators (correlations) of research produced on cloud computing in 48 countries …

Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems

E Toreini, M Mehrnezhad, A van Moorsel - International Journal of …, 2024 - Springer
Providing trust in machine learning (ML) systems and their fairness is a socio-technical
challenge, and while the use of ML continues to rise, there is lack of adequate processes …

Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures

V Mayya, C King, GT Vu, V Gurupur - IEEE Access, 2024 - ieeexplore.ieee.org
The complexity and high dimensionality of healthcare data present substantial challenges in
building machine learning (ML) models, given the large number of variables such as patient …

New data-related roles for librarians: Using bibliometric analysis and visualization to increase visibility of research impact

NS Mani, BE Hayes, A Dodd, F Yu… - Handbook of research …, 2021 - igi-global.com
From applying for competitive grants to showcasing institutional collaboration and research
trends, the need for research institutions to demonstrate and increase visibility of research …

The union advantage: union membership, access to care, and the Affordable Care Act

L Petach, DK Wyant - International Journal of Health Economics and …, 2023 - Springer
We describe a “union advantage” in health insurance coverage and access to care. Using
multiple statistical models and data from the Medical Expenditure Panel Survey for 1996 …

Leveling up evidence syntheses: filling conceptual gaps of the role of midwifery in health systems through a network analysis

CA Mattison, K Bourret, ML Dion - BMC Research Notes, 2022 - Springer
Objective In the research note, our main objective is to explore the value of combining an
evidence synthesis with a network analysis. The discussion is based on a critical interpretive …

Verifiable Fairness: Privacy–preserving Computation of Fairness for Machine Learning Systems

E Toreini, M Mehrnezhad, A Van Moorsel - European Symposium on …, 2023 - Springer
Fair machine learning is a thriving and vibrant research topic. In this paper, we propose
Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to …

[PDF][PDF] Mapping the Landscape of Eye-Tracking Research: a Systematic Bibliometric and Thematic Analysis of Studies in ACM CHI and CHIIR Proceedings

X Wang, F Yu, J Liu, D Garcia, I Stahl, A Vondenberger… - 2024 - easychair.org
Eye tracking is a technique for capturing and analyzing eye movement by using infrared light
to detect the reflection of the cornea and pupil, followed by measuring their relative positions …