Results 41 to 50 of about 54,363 (314)

Exploring Deep Learning for Multi-Topic Policy Text Classification

Journal of Information Science Theory and Practice
As the demand for cross-national policy comparisons intensifies, automating the classification of vast volumes of policy texts through deep learning presents a viable solution to alleviate manual labor and enhance policy matching efficiency.
Chengman Jin, Ha Eun Park, Baek Jeong, Kyoung Jun Lee   +3 more
doaj   +1 more source

GDF-15 as a Therapeutic Target of Diabetic Complications Increases the Risk of Gallstone Disease: Mendelian Randomization and Polygenic Risk Score Analysis

Frontiers in Genetics, 2022
Growth differentiation factor 15 (GDF-15) levels have been revealed as a robust biomarker for metformin use. We conducted Mendelian randomization (MR) analysis to explore the association between GDF-15 and gallstone disease to inform potential ...
Lili Yu, Yajing Zhou, Lijuan Wang, Xuan Zhou, Jing Sun, Jiarui Xiao, Xiaolin Xu, Susanna C. Larsson, Susanna C. Larsson, Shuai Yuan, Shuai Yuan, Xue Li, Xue Li   +12 more
doaj   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker, Kyle Kemp, Perri Tutelman, Sharon H. J. Hou, Paul Fairie, Maria Santana, Gregory M. T. Guilcher, Taryn Fay‐McClymont, Glenda Bendiak, Wendy Pelletier, Nicola Wright, Fiona Schulte   +11 more
wiley   +1 more source

Smart city big data analytics: An advanced review [PDF]

, 2019
© 2019 Wiley Periodicals, Inc. With the increasing role of ICT in enabling and supporting smart cities, the demand for big data analytics solutions is increasing.
Soomro, Kamran, Bhutta, Muhammad Nasir Mumtaz, Muhammad A. Tahir, Khan, Zaheer, Zaheer Khan, Tahir, Muhammad A., Muhammad Nasir Mumtaz Bhutta, Kamran Soomro   +7 more
core   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Balancing Privacy and Accuracy in Healthcare AI: Federated Learning with AutoML for Blood Pressure Prediction

Applied Sciences
The widening gap between life expectancy and healthy life years underscores the need for scalable, adaptive, and privacy-conscious healthcare solutions.
Suhyeon Kim, Kyoung Jun Lee, Taekyung Kim, Arum Park   +3 more
doaj   +1 more source

Remote patient monitoring for healthcare : a big challenge for big data

, 2019
Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services.
Sun, Zhaohao
core   +1 more source

How Big Data Analytics Impacts the Retail Management on the European and American Markets?

, 2022
Many studies on big data analytics focused on specialized use cases in business environments. Studies have been performed on the use of big data analytics in order to learn about consumer associations and expertise, among others.
Mesbaul Haque SAZU, Sakila Akter JAHAN
core   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

Enhancing Multimodal Recommender System Performance Using Large Language Models

IEEE Access
With the rapid advancement of e-commerce platforms and the overwhelming amount of information available online, recommender systems have emerged as essential tools for helping users efficiently discover items aligned with their preferences.
Soohyun Woo, Seonu Park, Xinzhe Li, Seongkook Lee, Jaekyeong Kim   +4 more
doaj   +1 more source