Results 41 to 50 of about 9,375,366 (255)
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +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
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
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
Fuzzy rules extraction using self-organising neural network and association rules [PDF]
Fuzzy logic is becoming popular in dealing with data analysis problems that are normally handled by statistical approaches or ANNs. The major limitation is the difficulty in building the fuzzy rules from a given set of input-output data.
Wong, K.W. +3 more
core
First page of a newsprint handbill detailing membership information for White Man's Union Association of Grimes County, Texas including the Constitution, By-Laws, and Rules of ...
White Man's Union Association
core +2 more sources
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
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

