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Image of PREDIKSI RISIKO OBESITAS PADA DEWASA MUDA MENGGUNAKAN MACHINE LEARNING METODE DECISION TREE

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PREDIKSI RISIKO OBESITAS PADA DEWASA MUDA MENGGUNAKAN MACHINE LEARNING METODE DECISION TREE

Nurlistyo, Ananda Khairunnisa - Personal Name;

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Introduction : Obesity has been designated as a global epidemic due to its increasing prevalence. Obesity is a complex health problem with limited understanding of risk factors. The purpose of this study is to apply, analyze, and evaluate a Machine Learning algorithm, the Decision Tree in predicting obesity in young adults. Method : This type of research is analytic observational with a cross sectional study design. This study is a secondary study. The sample in this study were young adults (20-39 years old) who visited one of the health centers in Palembang City, with a minimum sample size of 262. Univariate and bivariate analysis using SPSS and multivariate using Machine Learning Decision Tree. Results : The total sample was 971 people with the results of 581 people (59.8%) being obese, the majority of respondents were female (73.7%), and the majority of samples aged 35-39 (45%). The results of the analysis with chi-square obtained a significant relationship in the variables of age, gender, and physical activity with a p-value


Availability
Inventory Code Barcode Call Number Location Status
2407000189T137027T1370272023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1370272023
Publisher
Inderalaya : Prodi Pendidikan Dokter, Fakultas Kedokteran Universitas Sriwijaya., 2023
Collation
xvii, 71 hlm.; Ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
616.390 7
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Obesitas/kegemukan
Prodi Pendidikan Dokter
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

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  • PREDIKSI RISIKO OBESITAS PADA DEWASA MUDA MENGGUNAKAN MACHINE LEARNING METODE DECISION TREE
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