Machine Learning and Feature Selection in Pediatric Appendicitis. [PDF]
TomographyKendall J, Gaspar G, Berger D, Levman J.
europepmc +1 more source
EODE-PFA: A Multi-Strategy Enhanced Pathfinder Algorithm for Engineering Optimization and Feature Selection. [PDF]
Biomimetics (Basel)Li M, Cao C, Du M.
europepmc +1 more source
Resolving Interpretation Challenges in Machine Learning Feature Selection With an Iterative Approach in Biomedical Pain Data. [PDF]
Eur J PainLötsch J, Himmelspach A, Kringel D.
europepmc +1 more source
A hybrid framework of feature selection and interpretability for dissolved oxygen prediction in drinking water treatment plants. [PDF]
Sci RepHoshyarzadeh R +3 more
europepmc +1 more source
Feature selection based on step-wise extraction of partial least square principal components
, 2010 Jiangeng Li, Tao Geng, Xiaogang Ruan
openalex +1 more source
Related searches:
A review of feature selection methods in medical applications
Computers in Biology and Medicine, 2019Feature selection is a preprocessing technique that identifies the key features of a given problem. It has traditionally been applied in a wide range of problems that include biological data processing, finance, and intrusion detection systems.
Beatriz Remeseiro, V. Bolón-Canedo
semanticscholar +3 more sources
Feature Selection for Classification using Principal Component Analysis and Information Gain
Expert systems with applications, 2021Feature Selection and classification have previously been widely applied in various areas like business, medical and media fields. High dimensionality in datasets is one of the main challenges that has been experienced in classifying data, data mining ...
E. Omuya, G. Okeyo, Michael W. Kimwele
semanticscholar +1 more source
Dynamic Salp swarm algorithm for feature selection
Expert systems with applications, 2021Recently, many optimization algorithms have been applied for Feature selection (FS) problems and show a clear outperformance in comparison with traditional FS methods. Therefore, this has motivated our study to apply the new Salp swarm algorithm (SSA) on
Mohammad Tubishat +6 more
semanticscholar +1 more source
Feature selection using bare-bones particle swarm optimization with mutual information
Pattern Recognition, 2021Feature selection (FS) is an important data processing method in pattern recognition and data mining. Due to not considering characteristics of the FS problem itself, traditional particle update mechanisms and swarm initialization strategies adopted in ...
Xianfang Song +3 more
semanticscholar +1 more source