Synthetic data generation: State of the art in health care domain

H Murtaza, M Ahmed, NF Khan, G Murtaza… - Computer Science …, 2023 - Elsevier
Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

[HTML][HTML] Big data in ophthalmology

CY Cheng, Z Da Soh, S Majithia, S Thakur… - The Asia-Pacific …, 2020 - journals.lww.com
Big data is the fuel of mankind's fourth industrial revolution. Coupled with new technology
such as artificial intelligence and deep learning, the potential of big data is poised to be …

Machine learning prediction models for chronic kidney disease using national health insurance claim data in Taiwan

S Krishnamurthy, K Ks, E Dovgan, M Luštrek… - Healthcare, 2021 - mdpi.com
Chronic kidney disease (CKD) represents a heavy burden on the healthcare system
because of the increasing number of patients, high risk of progression to end-stage renal …

Long-term exposure to ambient fine particulate matter (PM2.5) and associations with cardiopulmonary diseases and lung cancer in Taiwan: a nationwide longitudinal …

WC Lo, CC Ho, E Tseng, JS Hwang… - International journal …, 2022 - academic.oup.com
Background Although a number of studies have reported on the health effects of fine
particulate matter (PM2. 5) exposure, particularly in North American and European countries …

Association of glucagon-like peptide-1 receptor agonist vs dipeptidyl peptidase-4 inhibitor use with mortality among patients with type 2 diabetes and advanced …

JJ Chen, CY Wu, CC Jenq, TH Lee, CY Tsai… - JAMA Network …, 2022 - jamanetwork.com
Importance Glucagon-like peptide-1 (GLP-1) receptor agonist use is associated with
reduced mortality and improved cardiovascular outcomes in the general population with …

Major adverse cardiovascular and limb events in patients with diabetes treated with GLP-1 receptor agonists vs DPP-4 inhibitors

DSH Lin, JK Lee, WJ Chen - Diabetologia, 2021 - Springer
Aims/hypothesis The safety and efficacy of glucagon-like peptide-1 receptor agonists
(GLP1RAs) and dipeptidyl peptidase-4 inhibitors (DPP4is) in major cardiovascular adverse …

Association of infections and use of fluoroquinolones with the risk of aortic aneurysm or aortic dissection

YH Dong, CH Chang, JL Wang, LC Wu… - JAMA internal …, 2020 - jamanetwork.com
Importance Prior observational studies have suggested that fluoroquinolone use may be
associated with more than 2-fold increased risk of aortic aneurysm or aortic dissection …

The nationwide Finnish anticoagulation in atrial fibrillation (FinACAF): study rationale, design, and patient characteristics

M Lehto, O Halminen, P Mustonen, J Putaala… - European Journal of …, 2022 - Springer
Atrial fibrillation (AF) is a major cause of ischemic stroke and the number of AF patients is
increasing. Thus, up-to-date multifaceted data about the characteristics of AF patients, their …

Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients

E Dovgan, A Gradišek, M Luštrek, M Uddin… - Plos one, 2020 - journals.plos.org
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at
an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's …

Data resource profile of Shizuoka Kokuho Database (SKDB) using integrated health-and care-insurance claims and health checkups: the Shizuoka Study

E Nakatani, Y Tabara, Y Sato, A Tsuchiya… - Journal of …, 2022 - jstage.jst.go.jp
Background: Analyzing real-world data, including health insurance claims, may help provide
insights into preventing and treating various diseases. We developed a database covering …