Results 41 to 50 of about 6,573,619 (301)
Implementing Health‐Related Quality of Life Assessment in Pediatric Oncology: A Feasibility Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background There is growing interest in embedding health‐related quality of life (HRQoL) assessment and patient‐reported outcome measures (PROMs) within clinical cancer care. This study evaluated the feasibility, acceptability, and usability of implementing an electronic PROM (ePROM) platform to measure HRQoL in children with cancer ...
Mikaela Doig +13 more
wiley +1 more source
EVALUATION AND OPTIMIZATION OF FREQUENT ASSOCIATION RULE BASED CLASSIFICATION
Asia-Pacific Journal of Information Technology and Multimedia, 2014 Deriving useful and interesting rules from a data mining system is an essential and important task. Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules ...
Izwan Nizal Mohd Shaharanee +1 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
wiley +1 more source
Privacy-preserving mining of association rules based on paillier encryption algorithm
网络与信息安全学报, 2016 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
Quantum algorithm for association rules mining [PDF]
, 2015 Association rules mining (ARM) is one of the most important problems in knowledge discovery and data mining. Given a transaction database that has a large number of transactions and items, the task of ARM is to acquire consumption habits of customers by ...
Chao-Hua Yu +3 more
semanticscholar +1 more source
Mining Association rules for Low-Frequency itemsets. [PDF]
PLoS ONE, 2018 High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Background A routine baseline echocardiogram is often obtained prior to anthracycline administration in children with cancer. The utility of baseline echocardiogram is unclear in patients with standard risk B‐cell acute lymphoblastic leukemia (SR B‐ALL) as their anthracycline cumulative dose is low.
Ziyad Alrajhi +4 more
wiley +1 more source
Exploring the predictive factors of heart disease using rare association rule mining
Scientific ReportsCardiovascular 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
مجلة بغداد للعلومAssociation 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
Iraqi Journal for Computers and Informatics, 2016 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
doaj +1 more source