Results 81 to 90 of about 52,006 (296)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Emergency obstetric care in Mali: catastrophic spending and its impoverishing effects on households
OBJECTIVE: To investigate the frequency of catastrophic expenditures for emergency obstetric care, explore its risk factors, and assess the effect of these expenditures on households in the Kayes region, Mali.
Catherine Arsenault +7 more
doaj +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
National Health Insurance (JKN) aims to provide health care benefits to meet people's basic health needs. However, despite the high JKN coverage in D.I.Yogyakarta Province, catastrophic health expenditure events remain high.
Erdi Fakhriandi, Wahyuni Andriana Sofa
doaj +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Employee Health Insurance Decisions In a Flexible Benefits Environment [PDF]
Empirical investigations of flexible benefits plans, an increasingly popular type of plan that allows employees to choose among multiple benefits options, have been limited. This study investigates hypotheses relating to the determinants of employees\u27
Barringer, Melissa W. +2 more
core +1 more source
Background and Aim: The World Health Organization (WHO) has placed special emphasis on the protection of families against the costs of health services. Patients suffer not only from the burden of a disease, but also from the burden of their health costs.
Sara Emamgholipour +3 more
doaj
Determinants of catastrophic health expenditure in iran.
This study will provide detailed specification of those variables and determinants of unpredictable health expenditure in Iran, and the requirements to reduce extensive effects of the factors affecting households' payments for health and other goods and services inappropriately.This study aims to identify measures of fair financing of health services ...
M Abolhallaje +4 more
openaire +3 more sources
Catastrophic Health Expenditures And Impoverishment In Kenya
Background: Out-of-pocket health expenditures leave households exposed to the risk of financial catastrophe and poverty whenever they entail significant dissaving or the sale of key household assets. Even relatively small expenditures on health can be financially disastrous for poor households and similarly, large health care expenditures can lead to ...
Diana N. Kimani +2 more
openaire +2 more sources
Coverage generosity of novel anti‐rheumatic drugs in Medicare Advantage and stand‐alone Part D plans
Objective To examine coverage of self‐administered disease‐modifying anti‐rheumatic drugs (DMARDs) in Medicare Part D. Methods Using 2022‐2026 Part D formulary data, we assessed coverage of the following DMARD classes that treat relapsed rheumatoid arthritis (RA): tumor necrosis factor (TNF) inhibitors, T‐cell co‐stimulatory modulator, Interleukin‐6 ...
Youngmin Kwon +2 more
wiley +1 more source

