A systematic review and evaluation of statistical methods for group variable selection
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9620
Abstract: This review condenses the knowledge on variable selection methods implemented in R and appropriate for datasets with grouped features. The focus is on regularized regressions identified through a systematic review of the literature, following the… read more here.
Keywords: review; group; methods group; selection methods ... See more keywords
An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features
Sign Up to like & getrecommendations! Published in 2017 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9541-y
Abstract: Hierarchical feature selection is a new research area in machine learning/data mining, which consists of performing feature selection by exploiting dependency relationships among hierarchically structured features. This paper evaluates four hierarchical feature selection methods, i.e.,… read more here.
Keywords: hierarchical feature; selection methods; ontology; feature selection ... See more keywords
A review of feature selection methods in medical applications
Sign Up to like & getrecommendations! Published in 2019 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2019.103375
Abstract: Feature 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… read more here.
Keywords: feature selection; methods medical; selection; medical applications ... See more keywords
Feature selection for the classification of traced neurons
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2018.04.002
Abstract: BACKGROUND The great availability of computational tools to calculate the properties of traced neurons leads to the existence of many descriptors which allow the automated classification of neurons from these reconstructions. This situation determines the… read more here.
Keywords: classification; feature selection; selection; traced neurons ... See more keywords
Theoretical foundations of forward feature selection methods based on mutual information
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.09.077
Abstract: Abstract Feature selection problems arise in a variety of applications, such as microarray analysis, clinical prediction, text categorization, image classification and face recognition, multi-label learning, and classification of internet traffic. Among the various classes of… read more here.
Keywords: forward feature; feature selection; based mutual; selection methods ... See more keywords
Benchmarking feature selection methods for compressing image information in high-content screening.
Sign Up to like & getrecommendations! Published in 2021 at "SLAS technology"
DOI: 10.1016/j.slast.2021.10.015
Abstract: Biopharmaceutical drug discovery, as of today is a highly automated, high throughput endeavor, where many screening technologies produce a high-dimensional measurement per sample. A striking example is High Content Screening (HCS), which utilizes automated microscopy… read more here.
Keywords: high content; feature; information; selection methods ... See more keywords
Inferring the Main Drivers of SARS‐CoV‐2 Global Transmissibility by Feature Selection Methods
Sign Up to like & getrecommendations! Published in 2021 at "GeoHealth"
DOI: 10.1029/2021gh000432
Abstract: Identifying the main environmental drivers of SARS‐CoV‐2 transmissibility in the population is crucial for understanding current and potential future outbursts of COVID‐19 and other infectious diseases. To address this problem, we concentrate on the basic… read more here.
Keywords: selection methods; drivers sars; feature selection; transmissibility ... See more keywords
Comparison of models and visualization of total volatile basic nitrogen content in mutton using hyperspectral imaging and variable selection methods
Sign Up to like & getrecommendations! Published in 2018 at "Spectroscopy Letters"
DOI: 10.1080/00387010.2018.1452268
Abstract: ABSTRACT Hyperspectral imaging combined with variable selection methods was used to perform the rapid and accurate detection and visualization of total volatile basic nitrogen content in mutton. For each sample, several spectra were extracted from… read more here.
Keywords: hyperspectral imaging; visualization total; model; variable selection ... See more keywords
Feature Selection Methods Based on Symmetric Uncertainty Coefficients and Independent Classification Information
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DOI: 10.1109/access.2021.3049815
Abstract: Feature selection is a critical step in the data preprocessing phase in the field of pattern recognition and machine learning. The core of feature selection is to analyze and quantify the relevance, irrelevance, and redundancy… read more here.
Keywords: selection methods; selection; feature selection; independent classification ... See more keywords
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Sign Up to like & getrecommendations! Published in 2021 at "Biometrics"
DOI: 10.1111/biom.13481
Abstract: Feature selection is indispensable in microbiome data analysis, but it can be particularly challenging as microbiome data sets are high-dimensional, underdetermined, sparse and compositional. Great efforts have recently been made on developing new methods for… read more here.
Keywords: feature selection; selection methods; selection; microbiome data ... See more keywords
A literature review of the predictive validity of European dental school selection methods
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Dental Education"
DOI: 10.1111/eje.12405
Abstract: INTRODUCTION Selection to dental school is the point at which there is the potential to assess a wide range of candidate attributes and select those most likely to learn, train and work within the profession.… read more here.
Keywords: dental school; predictive validity; selection; school selection ... See more keywords