Results 31 to 40 of about 228,099 (265)

Evaluating the Readability of Patient‐Facing Online Educational Materials for Pediatric Leukemia and Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Together, leukemia and lymphoma account for 38.7% of newly diagnosed pediatric cancer cases in the United States each year. Many caregivers utilize online resources to inform medical health decisions. Understanding the readability of these materials is critical to ensuring comprehensible patient education.
Chloe Strege, Simone Intriago Tito, Courtney Popp, William C. Miller, Cindy Eide, Christen Ebens, Jakub Tolar   +6 more
wiley   +1 more source

A Selection Process for Genetic Algorithm Using Clustering Analysis

Algorithms, 2017
This article presents a newly proposed selection process for genetic algorithms on a class of unconstrained optimization problems. The k-means genetic algorithm selection process (KGA) is composed of four essential stages: clustering, membership phase ...
Adam Chehouri, Rafic Younes, Jihan Khoder, Jean Perron, Adrian Ilinca   +4 more
doaj   +1 more source

Prototype Selection for Dissimilarity Representation by a Genetic Algorithm [PDF]

2010 20th International Conference on Pattern Recognition, 2010
Dissimilarities can be a powerful way to represent objects like strings, graphs and images for which it is difficult to find good features. The resulting dissimilarity space may be used to train any classifier appropriate for feature spaces. There is, however, a strong need for dimension reduction.
Yenisel Plasencia Calana, Edel B. García Reyes, Mauricio Orozco-Alzate, Robert P. W. Duin   +3 more
openaire   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Modified Floating Search Feature Selection Based on Genetic Algorithm

MATEC Web of Conferences, 2018
Classification performance is adversely impacted by noisy data .Selecting features relevant to the problem is thus a critical step in classification and difficult to achieve accurate solution, especially when applied to a large data set. In this article,
Homsapaya Kanyanut, Sornil Ohm
doaj   +1 more source

Parameter Selection in Genetic Algorithms

Journal of Systemics, Cybernetics and Informatics, 2004
In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation optimization applications with experimental design techniques. Appropriate levels of each parameter are proposed for a particular problem domain.
BOYABATLI, Onur, SABUNCUOGLU, Ihsan
openaire   +2 more sources

Boosting Genetic Algorithms with Self-Adaptive Selection [PDF]

2006 IEEE International Conference on Evolutionary Computation, 2006
In this paper we evaluate a new approach to selection in genetic algorithms (GAs). The basis of our approach is that the selection pressure is not a superimposed parameter defined by the user or some Boltzmann mechanism. Rather, it is an aggregated parameter that is determined collectively by the individuals in the population. We implement this idea in
Eiben, A.E., Schut, M.C., de Wilde, A.R.
openaire   +2 more sources

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

FastTree-Guided Genetic Algorithm for Credit Scoring Feature Selection

Computers
Feature selection is pivotal in enhancing the efficiency of credit scoring predictions, where misclassifications are critical because they can result in financial losses for lenders and exclusion of eligible borrowers. While traditional feature selection
Rashed Bahlool, Nabil Hewahi, Youssef Harrath   +2 more
doaj   +1 more source

Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers [PDF]

مجلة التربية والعلم, 1970
This work involves the use  some of Artificial intelligence techniques algorithms which are genetic algorithm and artificial immune system algorithm- clonal selection algorithm.
Maha Mohammed
doaj   +1 more source