Results 41 to 50 of about 237,412 (261)
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
ABSTRACT Introduction Bloodstream infections due to repeated vascular access (VA) puncture and circuit connections remain major concerns in hemodialysis. Therefore, we examined current practices for glove, disinfectant, and personal protective equipment (PPE) use according to VA type in national university hospitals in Japan.
Aiko Yamada +6 more
wiley +1 more source
Selection of Satisfied Association Rules via Aggregation of Linguistic Satisfied Degrees
Many association rule mining algorithms have been well-established, such as Apriori, Eclat, FP-Growth, or LCM algorithms. However, the challenge is that the huge size of association rules is extracted by using these algorithms, and it is difficult for ...
Fangling Ren, Zheng Pei, Kehong Wu
doaj +1 more source
Privacy-preserving mining of association rules based on paillier encryption algorithm
In privacy preserving association rule mining, the precision and security of mining are always a pair of contradictions. A method of privacy-preserving mining of association rules based on paillier encryption algorithm over distributed databases was ...
Huan XING,Lin ZHANG
doaj +3 more sources
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Exploring the predictive factors of heart disease using rare association rule mining
Cardiovascular diseases continue to be the leading cause of mortality worldwide, claiming a significant number of lives each year. Despite the advancements in predictive models, including logistic regression, neural networks, and random forests, these ...
Sadeq Darrab +2 more
doaj +1 more source
Modified Meerkat Clan Algorithm for Association Rules Mining
Association Rules Mining (ARM) forms one of the important data mining techniques. The classical methods that were previously worked on by researchers have become ineffective to deal with the steady growth of databases, which prompted us to use the ...
Mohamad Ab. Saleh, Ahmed T. Sadiq Sadiq
doaj +1 more source
The important methods of data mining is large and from these methods is mining of association rule. The mining of association rule gives huge number of the rules.
Safaa Al-Mamory, Zahraa Abdullah
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ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi +6 more
wiley +1 more source
Classifiying English Books By Using Association Rules
In general, libraries have taken a special interest from various educational institutions due to the key role that libraries play in terms of enriching the scientific aspects with different knowledge resources.
Asist .instructor. Enas Jasim Hadi
doaj +1 more source

