Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection

Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection

Background: The amount of available and potentially significant data describing study subjects is ever growing with the introduction and integration of different registries and data banks. The single specific attribute of these data are not always necessary; more often, membership to a specific grou...

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Bibliographic Details
Main Authors: Leja, M. (Author), Park, J.Y (Author), Polaka, I. (Author), Razuka-Ebela, D. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
accuracy
adult
alcohol consumption
Article
beverage
Classification
classification algorithm
data analysis
data base
Data merging
data mining
Data representation
eating habit
employment status
female
hazard
Helicobacter infection
Heterogenous data
histology
human
major clinical study
male
middle aged
questionnaire
random forest
risk assessment
risk factor
smoking
socioeconomics
taxonomy
Taxonomy
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