Obesity Level Estimation Software based on Decision Trees

Article Properties
  • DOI (url)
    10.3844/jcssp.2019.67.77
  • Publication Date
    2019/01/01
  • Journal
    Journal of Computer Science
  • Indian UGC (journal)
  • Citations
    12
  • Eduardo De-La-Hoz-Correa
  • Fabio E. Mendoza-Palechor
  • Alexis De-La-Hoz-Manotas
  • Roberto C. Morales-Ortega
  • Sánchez Hernández Beatriz Adriana
Cite
De-La-Hoz-Correa, Eduardo, et al. “Obesity Level Estimation Software Based on Decision Trees”. Journal of Computer Science, vol. 15, no. 1, 2019, pp. 67-77, https://doi.org/10.3844/jcssp.2019.67.77.
De-La-Hoz-Correa, E., Mendoza-Palechor, F. E., De-La-Hoz-Manotas, A., Morales-Ortega, R. C., & Beatriz Adriana, S. H. (2019). Obesity Level Estimation Software based on Decision Trees. Journal of Computer Science, 15(1), 67-77. https://doi.org/10.3844/jcssp.2019.67.77
De-La-Hoz-Correa E, Mendoza-Palechor FE, De-La-Hoz-Manotas A, Morales-Ortega RC, Beatriz Adriana SH. Obesity Level Estimation Software based on Decision Trees. Journal of Computer Science. 2019;15(1):67-7.
Citations
Title Journal Journal Categories Citations Publication Date
PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Science: Chemistry: Organic chemistry: Biochemistry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2024
Application of machine learning techniques for obesity prediction: a comparative study

 Journal of Complexity in Health Sciences 2023
Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records Computer Systems Science and Engineering
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2023
Estimation of Obesity Levels with a Trained Neural Network Approach optimized by the Bayesian Technique

 Applied Sciences
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Biology (General)
  • Science: Physics
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Science: Physics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
 7 2023
Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods

 Big Data and Cognitive Computing
  • Technology
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 14 2023
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science3
Technology: Engineering (General). Civil engineering (General)2
Science: Biology (General)2
Science: Physics2
Science: Chemistry2
Science: Chemistry: General. Including alchemy2
Technology: Technology (General): Industrial engineering. Management engineering2
Technology: Chemical technology2
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials2
Science: Science (General)2
Science: Science (General): Cybernetics: Information theory2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Medicine1
Science1
Technology1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Dataset for estimation of obesity levels based on eating habits and physical condition in individuals from Colombia, Peru and Mexico and was published in 2019. The most recent citation comes from a 2024 study titled PrivaTree: Collaborative Privacy-Preserving Training of Decision Trees on Biomedical Data. This article reached its peak citation in 2023, with 4 citations. It has been cited in 10 different journals, 40% of which are open access. Among related journals, the Applied Sciences cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year