Results 31 to 40 of about 6,573,619 (301)

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 more
wiley   +1 more source

Propose Data Mining System to Advance E-Learning Over Online Social Network (Facebook) [PDF]

Engineering and Technology Journal, 2015
This research presents a proposal to advance e-learning over online social network, facebook, through analyzing the structure of this network and the behavior of their users.
Soukaena Hassan Hashem, Sarraa Mowaffaq Abood   +1 more
doaj   +1 more source

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm

International Transactions on Electrical Energy Systems, 2022
As a very common and classic big data (BD) mining algorithm, the association rule data mining (DM) algorithm is often used to determine the internal correlation between different items and set a certain threshold to determine the size of the correlation.
Qunfeng Wei, Bin Qi
doaj   +1 more source

Secure Association Rule Sharing [PDF]

, 2004
The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal strategic patterns which we call restrictive rules. These restrictive rules must be protected before sharing since they are paramount for strategic decisions and need to remain private.
Oliveira, Stanley R. M., Zaïane, Osmar R., Saygın, Yücel   +2 more
openaire   +2 more sources

Molecular Methods for Rare Hemoglobinopathy Cases: First Brazilian Report of Pediatric Siblings with Hb O‐Arab and Alpha‐Thalassemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hemoglobinopathies are prevalent globally; diagnosis is complex in high genetic admixture populations like Brazil. We report, in two pediatric siblings, the first documented cases in Brazil of heterozygosity for hemoglobin (Hb) O‐Arab with coinheritance of α‐thalassemia (αα/−α4.2; −α3.7/−α4.2), resulting in microcytic and hypochromic anemia ...
Elisângela de Souza Miranda Muynarsk, Amanda Cristina Meneguetti Berti, Bárbara Braga Vieira Marques, Victoria Simões Bernardo, Flaviene Felix Torres, Ingrid Souza Dias, Vanessa da Silveira Ramos de Castro, Gabriela Alves Bernardino, Danilo Grünig Humberto da Silva, Edis Belini‐Júnior   +9 more
wiley   +1 more source

Criterion‐Related Validity of the Neuropsychological Quick Assessment for Screening Cognitive, Motor, and Behavioral Impairments in Patients With Pediatric Brain Tumors: An Observational Pilot Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata, Keita Ueda, Tsukasa Ueno, Katsutsugu Umeda, Kentaro Ueno, Kanade Tanaka, Noyuri Nishida, Rie Yamawaki, Megumi Nukui, Yoshiki Arakawa   +9 more
wiley   +1 more source

Selection of Satisfied Association Rules via Aggregation of Linguistic Satisfied Degrees

IEEE Access, 2019
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

Association rule mining of multicomponent mycotoxins contamination in wheat based on Apriori algorithm

Zhongguo shipin weisheng zazhi, 2022
ObjectiveTo analyze the correlation of muti-mycotoxin contamination in wheat， the co-contamination characteristics of different mycotoxins were studied.MethodsData mining analysis of the association between monitoring data for multiple mycotoxins ...
XUE Wenbo, WANG Xiaodan, LI Minglu, TANG Hao, MA Ning, ZHANG Lei, LIANG Jiang, ZHU Haijiang   +7 more
doaj   +1 more source

Visualizing association rules in hierarchical groups

Journal of Business Economics, 2016
Association rule mining is one of the most popular data mining methods. However, mining association rules often results in a very large number of found rules, leaving the analyst with the task to go through all the rules and discover interesting ones ...
Michael Hahsler, Radoslaw Karpienko
semanticscholar   +1 more source