Skripsi

MODEL PREDIKSI RISIKO HIPERTENSI PADA DEWASA DENGAN OVERWEIGHT MENGGUNAKAN SUPERVISED MACHINE LEARNING NAÏVE BAYES

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Penilaian

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Hypertension is a global health issue often associated with overweight, a condition characterized by excessive fat accumulation that can increase the risk of hypertension by 3-4 times. Machine Learning approaches, such as the Naïve Bayes algorithm, have proven effective in analyzing complex data and predicting various health conditions, including hypertension in individuals with overweight. This study utilized a cross-sectional design applying the Supervised Machine Learning Naïve Bayes algorithm to predict the risk of hypertension in overweight adults. Data were collected from adult patients aged 19–65 years visiting a primary health center in Palembang City in July 2024. Variables analyzed included age, gender, family history, education, income, occupation, central obesity, physical activity, and dietary patterns (salty food, vegetables, fruit). Model performance was evaluated using a confusion matrix, accuracy, precision, sensitivity, and F1-score. The Naïve Bayes prediction model demonstrated high performance in predicting hypertension in overweight individuals, achieving an accuracy of 95.1%. Key factors influencing the prediction of hypertension conditions in overweight individuals included age, gender, physical activity, and central obesity. The Naïve Bayes algorithm is effective in predicting the risk of hypertension in overweight adults, offering opportunities to implement more targeted preventive interventions. This model is expected to assist healthcare practitioners in reducing hypertension prevalence and improving community quality of life.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407006750	T160783	T1607832024	Central Library (REFERENCE)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1607832024

Publisher

Indralaya : Prodi Pendidikan Kedokteran, Fakultas Kedokteran Universitas Sriwijaya., 2024

Collation

xiii, 57 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.310 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Pendidikan Kedokteran
Prediksi risiko hipertensi; Overweight

Specific Detail Info

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Statement of Responsibility

TUTI

Other version/related

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